AndreaBozzo/ceres-open-data-index huggingface dataset:
TIGER/Line Shapefile, 2018,  nation, U.S., Current American Indian Tribal Subdivision (AITS) 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.

 American Indian tribal subdivisions are administrative subdivisions of federally recognized American Indian reservations/off-reservation trust lands or Oklahoma tribal statistical areas (OTSAs). These entities are internal units of self-government and/or administration that serve social, cultural, and/or economic purposes for the American Indian tribe or tribes on the reservations/off-reservation trust lands or OTSAs. The Census Bureau obtains the boundary and attribute information for tribal subdivisions on federally recognized American Indian reservations and off-reservation trust lands from federally recognized tribal governments through the Census Bureau's Boundary and Annexation Survey (BAS). For the 2010 Census, the boundaries for tribal subdivisions on OTSAs were also obtained from federally recognized tribal governments through the Tribal Statistical Areas Program (TSAP). Note that tribal subdivisions do not exist on all reservations/off-reservation trust lands or OTSAs, rather only where they were submitted to the Census Bureau by the federally recognized tribal government for that area.

 The boundaries for American Indian tribal subdivisions are as of January 1, 2018, as reported by the federally recognized tribal governments through the Census Bureau's Boundary and Annexation Survey (BAS). 

 The boundaries for tribal subdivisions on OTSAs are those reported as of January 1, 2010 through TSAP.

Tags: aia, air, american indian area, american indian reservation, nation, polygon, tribal subdivision, u.s., united states
Organization: U.S. Census Bureau, Department of Commerce
Military Installations, Ranges, and Training Areas

This dataset, released by DoD, contains geographic information for major installations, ranges, and training areas in the United States and its territories.  This release integrates site information about DoD installations, training ranges, and land assets in a format which can be immediately put to work in commercial geospatial information systems.  Homeland Security/Homeland Defense, law enforcement, and readiness planners will benefit from immediate access to DoD site location data during emergencies.  Land use planning and renewable energy planning will also benefit from use of this data.  Users are advised that the point and boundary location datasets are intended for planning purposes only, and do not represent the legal or surveyed land parcel boundaries.

Tags: air-force, army, base-structure-report, brac, defense, dod, federal-lands, installations, joint-base, marine-corps, national-geospatial-data-asset, navy, ngda, ngda-portfolio-themes, ranges, real-property-theme, sites, training-areas
Organization: Department of Defense
Total tonnage of commodites carried on commercial waterways by traffic type

Total tonnage and tonnage by traffic type (in short tons of 2000 pounds) of commodites carried on commercial waterways, where the origin and destination of the cargo movement was a location in the contigous 48 states, Alaska, Hawaii, Puerto Rico, and the U. S.

Tags: commerce, commodities, marine-transportation, tonnage, tons, waterborne
Organization: Department of Defense
TIGER/Line Shapefile, 2018,  nation, U.S., Current County and Equivalent 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 primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and for the unorganized area, census areas. The latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau. In four states (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data presentation. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: Municipios in Puerto Rico, Districts and Islands in American Samoa, Municipalities in the Commonwealth of the Northern Mariana Islands, and Islands in the U.S. Virgin Islands. The entire area of the United States, Puerto Rico, and the Island Areas is covered by counties or equivalent entities.

The boundaries for counties and equivalent entities are as of January 1, 2018, primarily as reported through the Census Bureau's Boundary and Annexation Survey (BAS).

Tags: borough, county, municipio, nation, parish, polygon, u.s., united states
Organization: U.S. Census Bureau, Department of Commerce
TIGER/Line Shapefile, 2018,  state, Alaska, Current Alaska Native Regional Corporation (ANRC) State-based

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. 

 Alaska Native Regional Corporations (ANRCs) were created pursuant to the Alaska Native Claims Settlement Act (ANCSA), which is federal legislation (Pub. L. 92-203, 85 Stat. 688 (1971); 43 U.S.C. 1602 et seq. (2000)) enacted in 1971, as a "Regional Corporation" and organized under the laws of the State of Alaska to conduct both the for-profit and non-profit affairs of Alaska Natives within a defined region of Alaska. For the Census Bureau, ANRCs are considered legal geographic entities. Twelve ANRCs cover the entire state of Alaska except for the area within the Annette Island Reserve (a federally recognized American Indian reservation under the governmental authority of the Metlakatla Indian Community). A thirteenth ANRC represents Alaska Natives who do not live in Alaska and do not identify with any of the twelve corporations. The Census Bureau does not provide data for this thirteenth ANRC because it has no defined geographic extent and thus it does not appear in the TIGER/Line Files. The Census Bureau offers representatives of the twelve non-profit ANRCs in Alaska the opportunity to review and update the ANRC boundaries before each decennial census. The ANRC boundaries are those reported as of January 1, 2010.

Tags: 02, ak, alaska, alaska native area, alaska native regional corporation, ana, anrc, polygon, state or equivalent entity, u.s., united states
Organization: U.S. Census Bureau, Department of Commerce
TIGER/Line Shapefile, 2018,  nation, U.S., Current American Indian/Alaska Native/Native Hawaiian Areas National (AIANNH)
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. The American Indian/Alaska Native/Native Hawaiian (AIANNH) Areas Shapefile includes the following legal entities: federally recognized American Indian reservations and off-reservation trust land areas, state-recognized American Indian reservations, and Hawaiian home lands (HHLs). The statistical entities included are Alaska Native village statistical areas (ANVSAs), Oklahoma tribal statistical areas (OTSAs), tribal designated statistical areas (TDSAs), and state designated tribal statistical areas (SDTSAs). Joint use areas are also included in this shapefile refer to areas that are administered jointly and/or claimed by two or more American Indian tribes. The Census Bureau designates both legal and statistical joint use areas as unique geographic entities for the purpose of presenting statistical data. Note that tribal subdivisions and Alaska Native Regional Corporations (ANRCs) are additional types of American Indian/Alaska Native areas stored by the Census Bureau, but are displayed in separate shapefiles because of how they fall within the Census Bureau's geographic hierarchy. The State of Hawaii's Office of Hawaiian Home Lands provides the legal boundaries for the HHLs. The boundaries for ANVSAs, OTSAs, and TDSAs were delineated for the 2010 Census through the Tribal Statistical Areas Program (TSAP) by participants from the federally recognized tribal governments. The Bureau of Indian Affairs (BIA) within the U.S. Department of the Interior (DOI) provides the list of federally recognized tribes and only provides legal boundary information when the tribes need supporting records, if a boundary is based on treaty or another document that is historical or open to legal interpretation, or when another tribal, state, or local government challenges the depiction of a reservation or off-reservation trust land.


The boundaries for federally recognized American Indian reservations and off-reservation trust lands are as of January 1, 2018, as reported by the federally recognized tribal governments through the Census Bureau's Boundary and Annexation Survey (BAS).

The boundaries for state-recognized American Indian reservations and for SDTSAs were delineated by a state governor-appointed liaisons for the 2010 Census through the State American Indian Reservation Program and TSAP respectively.

Tags: aia, alaska native area, american indian area, ana, hawaiian home land, nation, native hawaiian area, polygon, u.s., united states
Organization: U.S. Census Bureau, Department of Commerce
Final_Wildland_Fire_Sensor_Challenge_Public_Data

Wildland Fire Sensor Challenge Solver sensor system measurements and EPA reference method measurements (PM2.5, carbon monoxide, carbon dioxide, ozone) from Phase I EPA research chamber (Chapel Hill, NC) and Phase II U.S. Forest Service (Missoula, MT) combustion chamber testing. 

This dataset is associated with the following publication:
Landis, M., R. Long, J.D. Krug, M. Colon, R. Vanderpool, A. Habel, and S. Urbanski. The U.S. EPA Wildland Fire Sensor Challenge: Performance and Evaluation of Solver Submitted Multi-Pollutant Sensor Systems.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 247: NA, (2021).

Tags: carbon-dioxide, carbon-monoxide, ozone, particulate-matter, sensor-performance, wildland-fire-smoke
Organization: U.S. Environmental Protection Agency
Dry Dep Report Summary - 20190909 - NI42 (GOM Four Corners Data After Emissions Reductions)

Smooth-edge surrogate surface passive sampling was again employed to measure Gaseous Oxidized Mercury (GOM) dry deposition during contiguous two-week integrated time periods from August 1, 2017-August 1, 2019.  Dry deposition of GOM was monitored at six sites in the Four Corners area. 

This dataset is associated with the following publication:
Sather, M., S. Mukerjee, L. Smith, J. Mathew, C. Jackson, and M. Flournoy. Gaseous Oxidized Mercury Dry Deposition Measurements in the Four Corners Area, U.S.A., after Large Power Plant Mercury Emission Reductions.   Atmospheric Pollution Research. Turkish National Committee for Air Pollution Research and Control, Izmir,  TURKEY, 12(1): 148-158, (2021).

Tags: air-pollution, arid-area, dry-deposition, gaseous-oxidized-mercury, surrogate-surface-passive-sampling
Organization: U.S. Environmental Protection Agency
Diet-O3-MS data

Dataset for a study examining the cardiovascular effects from acute ozone exposure in rats fed with fish oil or olive oil diets. 

This dataset is associated with the following publication:
Tong, H., S. Snow, M.C. Schladweiler, G. Carswell, B. Chorley, and U. Kodavanti. Fish Oil and Olive Oil-Enriched Diets Alleviate Acute Ozone-induced Cardiovascular Effects in Rats.   TOXICOLOGY AND APPLIED PHARMACOLOGY. Academic Press Incorporated, Orlando, FL, USA, 409: 115296, (2020).

Tags: cardiovascular-effects, diet, fish-oil, olive-oil, ozone
Organization: U.S. Environmental Protection Agency
Placenta ScienceHub Data (version 1)

Data relative to the paper entitled " Ozone-induced fetal growth restriction in rats is associated with sexually dimorphic placental and fetal metabolic adaptation.". 

This dataset is associated with the following publication:
Miller, C., J. Dye, A. Henriquez, E. Stewart, K. Lavrich, G. Carswell, H. Ren, D. Freeborn, S. Snow, M.C. Schladweiler, J. Richards, P.R. Kodavanti, A. Fisher, B. Chorley, and U. Kodavanti. Ozone-induced fetal growth restriction in rats is associated with sexually dimorphic placental and fetal metabolic adaptation..   Molecular Metabolism. Elsevier B.V., Amsterdam,  NETHERLANDS, 20(42): 101094, (2020).

Tags: childrens-health, intrauterine-growth-restriction, metabolism, ozone
Organization: U.S. Environmental Protection Agency
SMPSS GI Assessment

Green infrastructure (GI) is widely recognized for reducing risk of flooding, improving water quality, and harvesting stormwater for potential future use.  GI can be an important part of a strategy used in urban planning to enhance sustainable development and urban resilience.  However, existing literature lacks a comprehensive assessment framework to evaluate GI performance in terms of promoting ecosystem functions and services for social-ecological system resilience.  We propose a scenario-based planning support system to assess the capacity of urban resilience by using a robust indicator set consisting of quantitative and qualitative measurements.  Green Infrastructure in Urban Resilience Planning Support System (GIUR-PSS) supports decision-making for GI planning through scenario comparisons with the urban resilience capacity index.  To demonstrate GIUR-PSS, we developed five scenarios for the Congress Run sub-watershed (Mill Creek watershed, Ohio, USA) to test common types of GI (rain barrels, rain gardens, detention basins, porous pavement, and open space).  Results show the open space scenario achieves the overall highest performance (GI Urban Resilience Index = 4.27/5).  To implement the open space scenario in our urban demonstration site, suitable vacant lots could be converted to greenspace (e.g., forest, detention basins, and low-impact recreation areas). GIUR-PSS is easy to replicate, customize, and apply to cities of different sizes to assess environmental, economic, and social benefits provided by different types of GI installations.

Additional data described in the manuscript are available through identified data sources indicated therein. 

This dataset is associated with the following publication:
Fu, X., M. Hopton, and X. Wang. Assessment of green infrastructure performance through an urban resilience lens.   JOURNAL OF CLEANER PRODUCTION. Elsevier Science Ltd, New York, NY, USA, 289: 125146, (2021).

Tags: green-infrastructure, scenario-planning, stormwater-management
Organization: U.S. Environmental Protection Agency
Office of Electricity website

The Office of Electricity (OE) provides national leadership to ensure that the Nation’s energy delivery system is secure, resilient and reliable. OE works to develop new technologies to improve the infrastructure that brings electricity into our homes, offices, and factories, and the federal and state electricity policies and programs that shape electricity system planning and market operations. OE also works to bolster the resiliency of the electric grid and assists with restoration when major energy supply interruptions occur.

Tags: advanced-grid-intergration, congressional-testimony, doe-grid-technology, electricity-advisory-committee, electricity-policy-and-coordination-and-implementation, energy-assurance, energy-infrastructure-modeling-and-analysis, infrastructure-security-and-energy-restoration, national-electricity-delivery, power-systems-research-and-engineering, technology-development
Organization: Department of Energy
Final Prenatal Dataset

Full data tables presented in the Supplemental Information in Excel format. 

This dataset is associated with the following publication:
Nilsen, F., J. Frank, and N. Tulve. A systematic review and meta-analysis investigating the relationship between exposures to chemical and non-chemical stressors during prenatal development and childhood externalizing behaviors.   International Journal of Environmental Research and Public Health. Molecular Diversity Preservation International, Basel,  SWITZERLAND, 17(7): 2361, (2020).

Tags: children, cortisol, gestational, mental-health, psychosocial, well-being
Organization: U.S. Environmental Protection Agency
Comparative toxicity of microcystin congeners in mice exposed by the oral route

Physical and serum chemistry effects in mice due to a single oral dose of ten microcystin congeners at a variety of dose levels to determine health effects and a no observable effect level. 

This dataset is associated with the following publications:
Chernoff, N. Comparative toxicology of microcystin congeners. U.S. Environmental Protection Agency, Washington, DC, USA.
Chernoff, N., D. Hill, J. Schmid, J. Lang, T. Le, A. Farthing, and H. Huang. The comparative toxicity of ten microcystin congeners administered orally to mice: Clinical effects and organ toxicity..   Toxins. MDPI AG, Basel,  SWITZERLAND, 12(6): 403, (2020).
Chernoff, N., D. Hill, J. Schmid, J. Lang, A. Farthing, and H. Huang. Dose-response study of microcystin congeners MCLR, MCLA, MCLY, MCRR, and MCYR administered orally to mice.   Toxins. MDPI AG, Basel,  SWITZERLAND, 13(2): 86, (2021).

Tags: cyanobacterial-toxin, in-vivo-data, microcystins, noael, toxicology
Organization: U.S. Environmental Protection Agency
PISA 2009 Results: What Makes a School Successful?  Resources, Policies and Practices (Volume IV)

This volume of PISA 2009 results examines how human, financial and material resources, and education policies and practices shape learning outcomes. Following an introduction to PISA and a Reader's Guide explaining how to interpret the data, Chapter 1 presents a summary of features shared by "successful" school systems. Chapter 2 details how resources, policies and practices relate to student performance. Chapter 3 provides detailed descriptions and in-depth analyses of selected organisational features (how students are sorted into grades, schools, and programmes, school autonomy, etc.) of schools and systems and how those aspects affect performance. Chapter 4 describes and analyzes key aspects of the learning environment (behaviours, discipline, parental involvement, school leadership, etc.) and how they affect performance.  The final chapter discusses the policy implications of the findings.  Annexes provides detailed statistical data and technical background.

Tags: __
Organization: Department of State
EPIC/MODIS LAI Comparison Data

This zip file contains the underlying data used to create all tables and figures within the manuscript. 

This dataset is associated with the following publication:
Iiames, J., E. Cooter, D. Pilant, and Y. Shao. Comparison of EPIC-simulated and MODIS-derived Leaf Area Index (LAI) across multiple spatial scales.   Remote Sensing. MDPI AG, Basel,  SWITZERLAND, 12(17): 2764, (2020).

Tags: environmental-policy-integrate-climate, epic, lai, leaf-area-index, modis
Organization: U.S. Environmental Protection Agency
Dataset for ORD-033373: Gene Expression Thresholds Are Predictive of Rat Liver Tumorigens in Short-Term Assays

The microarray experiments used in the study. 

This dataset is associated with the following publication:
Hill, T., J. Rooney, J. Abedini, H. El-Masri, C. Wood, and J. Corton. Gene Expression Thresholds Derived From Short-term Exposures Identify Rat Liver Tumorigens.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  177(1): 41-59, (2020).

Tags: adverse-outcome-pathway, cancer, liver, molecular-initiating-event, thresholds, toxicogenomics
Organization: U.S. Environmental Protection Agency
PISA 2009 Results: Overcoming Social Background Equity in Learning Opportunities and Outcomes (Volume II)

Volume II of PISA's 2009 results looks at how successful education systems moderate the impact of social background and immigrant status on student and school performance. The volume opens with an introduction to PISA and a Reader's Guide providing information that will help readers understand the data. Chapter 1 focuses on the magnitude of differences in student performance across countries and the extent to which these differences relate to socio-economic background. Chapter 2 examines the extent to which students and schools with different socio-economic backgrounds have access to similar educational resources, and the impact of background and school on learning outcomes. Chapter 3 examines the relationship between student performance and different aspects of socio-economic background. Chapter 4 compares the performance of students with an immigrant background with the performance of other students. Chapter 5 analyses the impact of socio-economic background of schools on reading performance. The final chapter examines policy implications of the findings.  Annexes provide detailed statistical data and technical information.

Tags: __
Organization: Department of State
PISA 2009 Results: What Students Know and Can Do Student Performance in Reading, Mathematics and Science (Volume I)

This first volume of PISA 2009 survey results provides comparable data on 15-year-olds' performance on reading, mathematics and science across 65 countries. The volume opens with an introduction explaining what PISA is and how PISA 2009 is different from previous PISA surveys.  The introduction also explains what PISA 2009 measures and how.  A reader's guide provides information needed to interpret the data. Chapter 2 provides a summary of the findings related to performance in reading, the focus of the 2009 survey. Chapter 3 provides a summary of the findings related to performance in mathematics and science. A final chapter explores policy implications in five areas: low performance, pursuing excellence, strengths and weaknesses in different kinds of reading, student performance in math and science, and the potential to improve performance across the world. Annexes provide detailed statistical data and technical information.

Tags: __
Organization: Department of State
EPA Geospatial Data Download: Facility and Site Information

Contains information about facilities or sites subject to environmental regulation, including key facility information along with associated environmental interests for use in mapping and reporting applications.

Tags: brownfields, cerclis, environment, epa, facilities, federal-data-download, federal-datasets, frs, geodatabase, kmz, major-discharges, national-priorities-list, nept, npdes, npl, pcs, public-health, rcra, rcrainfo, regulated-sites, sites, superfund, toxic-release, tri, xml
Organization: U.S. Environmental Protection Agency