AndreaBozzo/ceres-open-data-index huggingface dataset:
Compound 526373: 1,2,6,9-Tetrabromo-dibenzo-dioxin

Chemical compound data from PubChem database. IUPAC Name: 1,2,6,9-tetrabromodibenzo-p-dioxin. Molecular Formula: C12H4Br4O2. Molecular Weight: 499.77. 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 530333: Methyl 4,7,10,13,16,19-docosahexaenoate

Chemical compound data from PubChem database. IUPAC Name: methyl docosa-4,7,10,13,16,19-hexaenoate. Molecular Formula: C23H34O2. Molecular Weight: 342.5. 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 526108: 12-Methylpentacosane

Chemical compound data from PubChem database. IUPAC Name: 12-methylpentacosane. Molecular Formula: C26H54. Molecular Weight: 366.7. 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
Patent AT-E399542-T1: [Translated] ALFAVBETA3 AND ALFAVBETA6 INTEGRIN ANTAGONISTS AS ANTIFIBROTIC AGENTS

Chemical patent from PubChem database. Patent Number: AT-E399542-T1. Title: Novel Pharmaceutical Composition. Filing Date: 1999-11-21. Inventors: Smith, John A., Johnson, Mary B.. Abstract: The present invention relates to a novel pharmaceutical composition comprising one or more active pharmaceutical ingredients and pharmaceutically acce... IPC Classifications: C07D, C07F, A61K. This patent covers 17 claims related to 4 chemical compounds. Useful for intellectual property research, prior art searches, and chemical innovation tracking.

Tags: chemistry, innovation, patent, pubchem, research
Organization: U.S. Department of Health & Human Services
Compound 528837: Methyl 2-hydroxy-4-([(E)-(2-hydroxy-1-naphthyl)methylidene]amino)benzoate

Chemical compound data from PubChem database. IUPAC Name: 2,3-dimethoxypropyl 13-methyltetradecanoate. Molecular Formula: C20H40O4. Molecular Weight: 344.5. 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 530591: 2-Chloropropionic acid, pentadecyl ester

Chemical compound data from PubChem database. IUPAC Name: pentadecyl 2-chloropropanoate. Molecular Formula: C18H35ClO2. Molecular Weight: 318.9. 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 529477: 1,6-Anhydroiditol, TMS

Chemical compound data from PubChem database. IUPAC Name: trimethyl-[3,5,6-tris(trimethylsilyloxy)oxepan-4-yl]oxysilane. Molecular Formula: C18H44O5Si4. Molecular Weight: 452.9. 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
Program Instruction (PI-20-10)

This Program Instruction (PI) provides instruction and procedures to title IV-E agencies on how to request flexibility to meet the specific title IV-E requirements noted in this Program Instruction (PI) as a result of the COVID-19 pandemic and national public health emergency.

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

Tags: 19, emergency, guidance, instruction, policy
Organization: U.S. Department of Health & Human Services
Utah Winter Fine Particle Study Data Archive

NOAA hosted data archive for the 2017 Utah Winter Fine Particle Study. 

This dataset is associated with the following publication:
Christie, J., H. Elliott, S.M.O. O’Connell-Lopez, K. Perry, K. Pratt, A.G. Hallar, A. Hrdina, J.G. Murphy, T. Riedel, R. Long, D. Mitroo, J.D. Haskins, and C.J. Gaston. Halogen Production from Playa Dust Emitted from the Great Salt Lake: Implications of the Shrinking Great Salt Lake on Regional Air Quality.   ACS Earth and Space Chemistry. American Chemical Society, Washington, DC, USA, 9(3): 480–493, (2025).

Tags: aerosol, air-quality, dinitrogen-pentoxide, halogen-production, mineral-dust, nitryl-chloride
Organization: U.S. Environmental Protection Agency
Delatte Metals Permeable Reactive Barrier Data

The U.S. Environmental Protection Agency installed a permeable reactive barrier (PRB) at the Delatte Metals Superfund Site to treat groundwater contaminated with lead and other heavy metals at a former battery recycler in Ponchatoula, Louisiana. The Dataset contains field and laboratory data that resulted from that sampling. Samples for this project were collected from 2004 to 2018. 

This dataset is associated with the following publication:
Lawrinenko, M., L. Rhea, J. Fields, and R. Wilkin. Long-term Field Study of a Permeable Reactive Barrier for Groundwater Clean-up at an Acid Battery Recycling Site.   JOURNAL OF HAZARDOUS MATERIALS. Elsevier Science Ltd, New York, NY, USA, 497: 139579, (2025).

Tags: arsenic, drinking-water-groundwater, lead, montana-standard-reference-material-2710, permeable-reactive-barrier, secondary-contaminants
Organization: U.S. Environmental Protection Agency
National Survey of Substance Abuse Treatment Services (N-SSATS-2013)

<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. N-SSATS provides the mechanism for quantifying the dynamic character and composition of the United States substance abuse treatment delivery system. The objectives of N-SSATS are to collect multipurpose data that can be used to assist the Substance Abuse and Mental Health Services Administration (SAMHSA) and state and local governments in assessing the nature and extent of services provided and in forecasting treatment resource requirements, to update SAMHSA's Inventory of Behavioral Health Services (I-BHS), to analyze general treatment services trends, and to generate the online Substance Abuse Treatment Facility Locator <a href="http://findtreatment.samhsa.gov">http://findtreatment.samhsa.gov</a>, as well as the National Directory of Drug and Alcohol Abuse Treatment Programs.</p>
<p>Data are collected on topics including facility operation, services offered (assessment, testing, transitional, ancillary, and pharmacotherapies), detoxification, primary focus (substance abuse, mental health, both, general health, and other), Opioid Treatment Programs and medications dispensed/prescribed, counseling and therapeutic approaches, standard operating procedures, special programs/groups offered, languages in which treatment is provided, type of treatment provided (hospital inpatient, residential, outpatient), number of clients (by service, total, and under age 18), number of beds, types of payment accepted, sliding fee scale, and facility accreditation and licensure/certification.<br />
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
National Youth Survey US:  Wave IV (NYS-1979)

<p>Youth data for the fourth wave of the National Youth Survey<br />
are contained in this data collection. The first wave of this survey<br />
was conducted in 1976, the second wave in 1977, and the third wave in 1978. Data are available in<br />
this wave on the demographic and socioeconomic status of respondents,<br />
disruptive events in the home, youth aspirations and expectations,<br />
social isolation, normlessness, perceived disapproval by parents and<br />
peers, attitudes toward deviance, exposure and commitment to delinquent<br />
peers, sex roles, interpersonal violence, pressure for substance abuse<br />
by peers, self-reported delinquency, drug and alcohol use, and<br />
victimization.This study has 1 Data Set.</p>

Tags: aspirations, behavior-problems, career-goals, community-involvement, delinquent-behavior, depression-psychology, deviance, drugs, expectations, family-conflict, family-relations, health-services-utilization, life-events, neighborhood-conditions, parental-attitudes, parents, peer-influence, sexual-behavior, social-attitudes, social-behavior, social-isolation, social-values, socioeconomic-status, spouse-abuse, substance-abuse, teenage-pregnancies, victimization, young-adults, youths
Organization: U.S. Department of Health & Human Services
Chronic PFAS Exposure Induces Chemotherapy Resistance by Promoting Mitochondria-Related Alterations in Ovarian Cancer Cells

Sequencing and transcriptomics measurements, flow cytometry measurements, plate reads. 

This dataset is associated with the following publication:
Rickard, B., L. Sapienza Lundie, M. Overchuck, J. Tulino, M. Prates Mori, J. McCord, V. Chappell, C. Bortner, V. Bae-Jump, J. Santos, S. Fenton, and I. Rizvi. Chronic PFAS Exposure Induces Chemotherapy Resistance by Promoting Mitochondria-Related Alterations in Ovarian Cancer Cells.   ENVIRONMENTAL RESEARCH. Elsevier B.V., Amsterdam,  NETHERLANDS, 284: 122211, (2025).

Tags: chemoresistance, mitochondria, ovarian-cancer, perfluoroalkyl-substances-pfas, platinum-resistance
Organization: U.S. Environmental Protection Agency
Anthropogenic metal storage in wetland soils across the conterminous United States

Publicly available data used to generate manuscript figures. 

This dataset is associated with the following publication:
Dietrich, M., M. Dumelle, A. Nahlik, H. Golden, J. Christensen, C. Lane, E. Moore, and G. Filippelli. Anthropogenic Metal Storage in Wetland Soils Across the Conterminous United States.   WETLANDS. The Society of Wetland Scientists, McLean, VA, USA, 45: 64, (2025).

Tags: conus, metals, national-scale, wetland-metal-storage, wetlands
Organization: U.S. Environmental Protection Agency
Hydrologic data compilation from headwater stream case studies for open access

Drying has a major impact on pattern and process in streams, particularly in small or headwater streams. Such streams that dry recurrently are called non-perennial streams and represent most of the channel length across river networks. In spite of their prevalence, non-perennial streams are vastly underrepresented in existing stream gaging networks and in maps and hydrographic datasets.  However, diverse and spatially extensive datasets of surface water presence observations exist as well as recently developed mobile applications that could help fill the data gap in characterizing the spatial extent of non-perennial streams. Hydrological data from perennial and non-perennial reaches were compiled from a series of studies on headwater streams to expand available data for mapping and modeling efforts in the United States. Hydrologic data within this compilation include visually recorded observations of hydrological status (dry, isolated pools, interstitial flow, and continuous surface flow), point measurements of discharge (cubic meters per second), and logger-based measurements for the timing and duration of streamflow and drying.
These data were compiled across a series of studies on headwater streams (drainage area ~2.6 km2 or less) and were used to characterize their hydrology. Hydrologic data within this compilation are organized into files based on type of hydrologic data and study area. The types of hydrologic data include visually recorded observations of hydrological status (dry, isolated pools, interstitial flow, and continuous surface flow), point measurements of discharge (cubic meters per second), and logger-based measurements for the timing and duration of streamflow and drying. The study areas included in the compilation include headwater streams in Kentucky (Robinson Forest), Illinois (Shawnee National Forest), Indiana (Hoosier National Forest), New Hampshire (Dodge Brook), New York (Balsam Lake Mountain), North Dakota (Pipestem), Ohio (Congress Run, Edgewood Preserve, Edge of Appalachia, Wayne National Forest), South Carolina (Carolina Sandhills, Sugarloaf Mountain, Sumter National Forest Enoree and Long Cane Districts), Tennessee (Big Ridge), Vermont (Hinesburg), Washington (Mt. Baker-Snoqualmie), and West Virginia (Coopers Rock). A more detailed description of the data files are included within the Data description.docx and Data Dictionary for logger data compilation.xlsx files.

Tags: discharge, ephemeral, headwaters, hydrology, intermittent, perennial, streams
Organization: U.S. Environmental Protection Agency
Data availability for Zhang et al. 2025

The data for Zhang et al. 2025 are publicly available online in the supplementary information associated with the article. See link provided. 

This dataset is associated with the following publication:
Zhang, X., S.D. LeDuc, S. Kim, B.E. Dale, K. Zhao, Y. Zhou, G.W. McCarty, and G.E. Moglen. Soil erosion and lateral carbon fluxes from corn stover-derived biofuel.   Scientific Reports. Nature Publishing Group, London,  UK, 15(1): 18315, (2025).

Tags: air-quality, biofuel, carbon, corn-stover, erosion
Organization: U.S. Environmental Protection Agency
Alaska landslide inventory database

Alaska landslide inventory database, Digital Data Series 23, provides a catalog of slope instabilities across Alaska and documents the development of the Alaska Landslide Inventory (ALI), a geospatial database created by the Division of Geological & Geophysical Surveys (DGGS) under the State's Landslide Hazards Program. Initiated in response to recent catastrophic landslides, the ALI consolidates both published and newly identified landslide events, including those reported in media sources and interpreted from aerial imagery. Each entry is classified by movement type (e.g., slides, flows, thaw-related) and includes metadata such as event date, kinematic features, and confidence intervals. The inventory is designed to support hazard assessment, land-use planning, and risk mitigation efforts, and will be integrated into the national U.S. Landslide Inventory. This report outlines the methodology used to compile the database, discusses current limitations, and identifies future goals for expanding coverage, refining classifications, and improving data completeness. The ALI is intended for regional or community-scale analysis and is not suitable for site-specific or legal use. This data is released with an open end-user license. All files can be downloaded from the Alaska Division of Geological & Geophysical Surveys website (http://doi.org/10.14509/31697).

Tags: afognak, alaska, alaska peninsula, alaska range, alaska statewide quadrangle, aleutian islands, aleutian peninsula, aleutian range, anchorage, brooks range, coastal, coastal and river, coastal erosion, colluvium, copper river, copper river basin, debris avalanche, debris flow, debris flow deposit, dggs, fairbanks, fan, fracturing, gelifluction, geodatabase, geologic, geologic hazards, geological process, geology, geomorphology, geotechnical, glaciers, groundwater, hazards, iliamna, interpretation, juneau, katmai, kenai, land subsidence, landslide, landslide deposit, landslide susceptibility, liquefaction, methods, noatak, regional, rock avalanche, rock fragments, seldovia, seward, seward peninsula, shear, slides, slope, slope instability, slump, solifluction, southcentral alaska, southeast alaska, state of, structure, surface, surficial, talkeetna, talus, topography, transportation, tsunami, tyonek, vegetation, water, whittier, wrangell mountains
Organization: State of Alaska
Lidar-derived surface elevation data for Glen Alps, Southcentral Alaska, collected August 17, 2024

Lidar-derived surface elevation data for Glen Alps, Southcentral Alaska, collected August 17, 2024, Raw Data File 2025-19, releases classified point cloud, digital surface model (DSM), digital terrain model (DTM), and intensity model of the Glen Alps area, Municipality of Anchorage (MOA), Southcentral Alaska, during leaf-on conditions. The survey provides summer 'snow off' surface elevations to derive snow depth information using a separately collected winter 'snow-on' elevation surface. Ground control data were collected on March 25, 2024, and aerial lidar data were collected on August 17, 2024, and subsequently merged and processed using a suite of geospatial processing software. This data collection is released as a Raw Data File with an open end-user license. All files can be downloaded from the Alaska Division of Geological & Geophysical Surveys website (http://doi.org/10.14509/31704).

Tags: aerial, aerial geology, anchorage mining district, avalanche, coastal, coastal and river, dggs, digital elevation model, digital surface model (dsm), digital terrain model, elevation, emergency preparedness, engineering, engineering geology, environmental, flattop mountain, geologic, geologic hazards, geological process, geology, geomorphology, geotechnical, lidar, lidar intensity image, lidar las file format, point cloud data, rabbit creek, raster image, remote sensing, slope, slope instability, snow avalanche, surface, topography
Organization: State of Alaska
Lidar-derived elevation data for south fork Eagle River Valley, Southcentral Alaska, collected August 17, 2024

Lidar-derived elevation data for south fork Eagle River Valley, Southcentral Alaska, collected August 17, 2024, Raw Data File 2025-20, releases classified point cloud, digital surface model (DSM), digital terrain model (DTM), and intensity model of South Fork Eagle River valley, Municipality of Anchorage (MOA), Southcentral Alaska, during leaf-on conditions. The survey provides summer 'snow off' surface elevations to derive snow depth information using a separately collected winter 'snow-on' elevation surface. Ground control data were collected on March 24, 2024, and aerial lidar data were collected on August 17, 2024, and subsequently merged and processed using a suite of geospatial processing software. This data collection is released as a Raw Data File with an open end-user license. All files can be downloaded from the Alaska Division of Geological & Geophysical Surveys website (http://doi.org/10.14509/31705).

Tags: aerial, aerial geology, anchorage mining district, avalanche, coastal and river, dggs, digital elevation model, digital surface model (dsm), digital terrain model, eagle lake, elevation, emergency preparedness, engineering, engineering geology, environmental, geologic, geologic hazards, geological process, geology, geomorphology, geotechnical, harp mountain, highland mountain, lidar, lidar intensity image, lidar las file format, little teton mountain, mount gordon lyon, point cloud data, raster image, remote sensing, rendezvous peak, slope, slope instability, snow avalanche, south fork eagle river valley, surface, symphony lake, topography
Organization: State of Alaska
Assessor Historical Secured Property Tax Rolls

<b><i> Note: Due to the large file size the Shapefile export option does not work.  To access geospatial data please select GeoJSON from the export menu</i></b>

This data set includes the Office of the Assessor-Recorder’s secured property tax roll spanning from July 1, 2007 to June 30, 2024. It includes all legally disclosable information, including location of property, value of property, the unique property identifier, and specific property characteristics. The data is used to accurately and fairly appraise all taxable property in the City and County of San Francisco. The Office of the Assessor-Recorder makes no representation or warranty that the information provided is accurate and/or has no errors or omissions.

This dataset is updated annually after the roll is closed and certified. This typically happens by August of each year.

Tags: property, property-tax, property-value, valuation
Organization: City of San Francisco
Analysis Neighborhoods

A. SUMMARY
The Department of Public Health and the Mayor’s Office of Housing and Community Development, with support from the Planning Department, created these 41 neighborhoods by grouping 2010 Census tracts, using common real estate and residents’ definitions for the purpose of providing consistency in the analysis and reporting of socio-economic, demographic, and environmental data, and data on City-funded programs and services. These neighborhoods are not codified in Planning Code nor Administrative Code, although this map is referenced in Planning Code Section 415 as the “American Community Survey Neighborhood Profile Boundaries Map.
Note: These are NOT statistical boundaries as they are not controlled for population size. This is also NOT an official map of neighborhood boundaries in SF but an aggregation of Census tracts and should be used in conjunction with other spatial boundaries for decision making.
B. HOW THE DATASET IS CREATED
This dataset is produced by assigning Census tracts to neighborhoods based on existing neighborhood definitions used by Planning and MOHCD. A qualitative assessment is made to identify the appropriate neighborhood for a given tract based on understanding of population distribution and significant landmarks. Once all tracts have been assigned a neighborhood, the tracts are dissolved to produce this dataset, Analysis Neighborhoods.
C. UPDATE PROCESS
This dataset is static. Changes to the analysis neighborhood boundaries will be evaluated as needed by the Analysis Neighborhood working group led by DataSF and the Planning department and includes staff from various other city departments. Contact us
for any questions.
D. HOW TO USE THIS DATASET
Downloading this dataset and opening it in Excel may cause some of the data values to be lost or not display properly (particularly the Analysis Neighborhood column). For a simple list of Analysis Neighborhoods without geographic coordinates, click here: https://data.sfgov.org/resource/xfcw-9evu.csv?$select=nhood
E. RELATED DATASETS
2020 Census tracts assigned a neighborhood
2010 Census tracts assigned a neighborhood
 <u><a href="https://sfgov.maps.arcgis.com/home/item.html?id=09801373234345c4a8722aac1c141e78">View this dataset on ArcGIS Online</a></u>

Organization: City of San Francisco
Police Use of Force (December 21, 2016, to April 11, 2022)

<strong>SUMMARY</Strong>
Use of Force data (UOF) collection and reporting requirements were updated significantly in 2016. This dataset reflects Use of Force incidents occurring between December 21, 2016, through April 11, 2022. Each record corresponds to an incident where an officer used force. For any incident, there may be more than one officer involved and/or more than one type of force used.

Use of Force data in this release was captured under the standards set forth in DGO 5.01, Use of Force, passed on December 21st, 2016. 

See  <u><a href="https://sfdigitalservices.gitbook.io/dataset-explainers/police-department-use-of-force-data-2016-2022">Dataset Explainer</a></u> for more information.

<strong>UPDATE PROCESS</strong>
This dataset is historical only and will not be updated.

<strong>HOW TO USE THIS DATASET</strong>
This dataset can be used to provide counts of incidents involving use of force as well as counts of force, by type, date, subject demographics, and location. Use of Force standards have changed in subsequent revisions of DGO 5.01 and care should be taken when comparing Use of Force data across differing standards.

Organization: City of San Francisco