AndreaBozzo/ceres-open-data-index huggingface dataset:
Dataset for ORD-033294: Mining a human transcriptome database for chemical modulators of NRF2

Gene Expression Omnibus and ArrayExpress archived study numbers of microarray data used in the study. 

This dataset is associated with the following publication:
Rooney, J., B. Chorley, S. Hiemstra, S. Wink, X. Wang, D. Bell, B. van de Water, and J. Corton. Mining a human transcriptome database for chemical modulators of Nrf2 (PLOS ONE).   PLoS ONE. Public Library of Science, San Francisco, CA, USA, 15(9): e0239367, (2020).

Tags: high-throughput-screening, microarray, nrf2, oxidative-stress, toxicogenomics
Organization: U.S. Environmental Protection Agency
2016 Cartographic Boundary File, 115th Congressional Districts for United States, 1:500,000

The 2016 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master
               Address File /Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed
               for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies
               and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year.
               Some geographies are available as nation-based files while others are available only as state-based files. Congressional Districts are the 435 areas from
               which people are elected to the U.S. House of Representatives. After the apportionment of congressional seats among the states based on census population
               counts, each state is responsible for establishing congressional districts for the purpose of electing representatives. Each congressional district is to
               be as equal in population to all other congressional districts in a state as practicable. The 115th Congress is seated from January 2017 to 2019. The
               cartographic boundary files for the District of Columbia, Puerto Rico, and the Island Areas (American Samoa, Guam, the Commonwealth of the Northern
               Mariana Islands, and the U.S. Virgin Islands) each contain a single record for the non-voting delegate district in these areas. The boundaries of all
               other congressional districts are provided to the Census Bureau through the Redistricting Data Program (RDP).

Tags: 2016, boundaries, cartographic boundary, congressional district, generalized, kml, state, united states, us
Organization: U.S. Census Bureau, Department of Commerce
TIGER/Line Shapefile, 2015, Series Information for the Current Unified School Districts Shapefile State-based Shapefile

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the
               U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB).  The MTDB represents
               a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data
               set, or they can be combined to cover the entire nation.


               School Districts are single-purpose administrative units within which local officials provide public educational services for the area's residents. The
               Census Bureau obtains the boundaries, names, local education agency codes, grade ranges, and school district levels for school districts from State
               officials for the primary purpose of providing the U.S. Department of Education with estimates of the number of children in poverty within each school
               district.  This information serves as the basis for the Department of Education to determine the annual allocation of Title I funding to States and
               school districts.  

               TIGER/Line Shapefiles include separate shapefiles for elementary, secondary and unified school districts. The school district boundaries are those in
               effect for the 2013-2014 school year.  
            

Tags: polygon, school district, state or equivalent entity, u.s., unified school district, united states
Organization: U.S. Census Bureau, Department of Commerce
Resoure Recovery from E-waste

Sustainable management of electronic waste is critical to achieving a circular-economy and minimizing environment and public health risks. The objective of this study was to investigate the use of pyrolysis as a possible technique to recover valuable materials and energy from different components of e-waste as an alternative approach for limiting their disposal to landfills. The study includes investigating the potential impact of thermal processing of e-waste.Thermogravimetric (TG) analysis and differential thermogravimetric analysis (DTG) of e-waste components were used to better understand the mass loss characteristics of the pyrolysis process up to 700 oC. The changes in e-waste chemical components during pyrolysis were considered using Fourier-transform infrared (FTIR) spectrometry and X-ray fluorescence (XRF) techniques. The energy recovery from pyrolysis was made in a horizontal tube furnace under anoxic and isothermal condition of selected temperatures of 300, 400 and 500 oC. Critical and valuable metals were recovered from electronic components. Pyrolysis produced liquid and gas mixtures organic compounds that can be used as fuels, but the process also emitted particulate matter and semi-volatile organic products, and the remaining ash contained leachable pollutants.  Furthermore, toxicity leaching characteristic profile of e-waste and partly oxidized products were conducted to measure the levels of pollutants leached before and after pyrolysis at selected temperatures. The results of this study contribute to the development of alternative approaches to practical recycling that could especially help reduce plastic pollution and recover materials of value from e-waste. Additionally, this information may be used to assess the risk of exposure of workers to emissions semi-formal recycling centers. 

This dataset is associated with the following publication:
Sahle-Demessie, E., B. Mezgebe, J. Dietrich, Y. Shan, S. Harmon, and C.C. Lee. Material recovery from electronic waste using pyrolysis: Emissions measurements and risk assessment.   Journal of Environmental Chemical Engineering. Elsevier B.V., Amsterdam,  NETHERLANDS, 9(1): 104943, (2021).

Tags: electronic-plastics, electronics-waste, environmental-pollution, heavy-metals, metal-recovery, organic-pollutants, pyrolysis, tclp
Organization: U.S. Environmental Protection Agency
Algal softening followed by ozonation: the fate of persistent micropollutants and natural organic matter in groundwater

1. Physocochemical parameters: optical density (OD680), pH, hardness, alkalinity, DOC, AOC, UV254, SUVA, excitation-emission-matrix (EEM) fluorescence spectra, CBZ and DCF during the algal treatment 

2. Microscopy: Energy-dispersive X-ray (EDX) spectra and field emission scanning electron microscopy (FE-SEM) images of bio-solids. This dataset is not publicly accessible because: All the data were generated by Korea University in South Korea. There is no EPA generated data. It can be accessed through the following means: Contact Dr. Hyunchul Kim in Korea University in South Korea to request all the data used for the manuscript. Here is his contact information. Phone: +82 10 73731517 Email: animaplus@hanmail.net. Format: Not available. 

This dataset is associated with the following publication:
Kim, H., T. Timmes, H. Ryu, H.S. Yang, H. Yoon, and S. Kim. Algal softening followed by ozonation: the fate of persistent micropollutants and natural organic matter in groundwater.   JOURNAL OF HAZARDOUS MATERIALS. Elsevier Science Ltd, New York, NY, USA, 402: 123480, (2021).

Tags: alkalization, biodegradation, carbamazepine, diclofenac, microalgae
Organization: U.S. Environmental Protection Agency
R2PIER monitoring data

These data include the 1-minute monitoring values at the R2PIER site, the daily averaged data supporting comparison of the R2PIER and nearby New Jersey Elizabeth Lab site, and the 5 minute shipping data. 

This dataset is associated with the following publication:
Hagler, G., D. Birkett, R. Henry, and R. Peltier. Three years of high time-resolution air pollution monitoring in the complex multi-source harbor of New York and New Jersey.   AEROSOL AND AIR QUALITY RESEARCH. Chinese Association for Aerosol Research in Taiwan,   TAIWAN, PROVINCE OF CHINA, 21(2): NA, (2020).

Tags: air-quality-monitoring, inverse-modeling, near-source, ports
Organization: U.S. Environmental Protection Agency
Series Information File for the 2016 Cartographic Boundary File, State-County-County Subdivision , 1:500,000

The 2016 cartographic boundary KMLs are simplified representations
               of selected geographic areas from the U.S. Census Bureau's Master Address File /
               Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database
               (MTDB). These boundary files are specifically designed for small-scale thematic
               mapping. When possible, generalization is performed with the intent to maintain the
               hierarchical relationships among geographies and to maintain the alignment of
               geographies within a file set for a given year. Geographic areas may not align with
               the same areas from another year. Some geographies are available as nation-based
               files while others are available only as state-based files. County subdivisions are
               the primary divisions of counties and their equivalent entities for the reporting of
               Census Bureau data. They include legally-recognized minor civil divisions (MCDs) and
               statistical census county divisions (CCDs), and unorganized territories. For the 2010
               Census, the MCDs are the primary governmental and/or administrative divisions of
               counties in 29 States and Puerto Rico; Tennessee changed from having CCDs for Census
               2000 to having MCDs for the 2010 Census. In MCD States where no MCD exists or is not
               defined, the Census Bureau creates statistical unorganized territories to complete
               coverage. The entire area of the United States, Puerto Rico, and the Island Areas is
               covered by county subdivisions. The boundaries of most legal MCDs are as of January
               1, 2016, as reported through the Census Bureau's Boundary and Annexation Survey
               (BAS).

Tags: 2016, boundaries, cartographic boundary, county, county subdivision, generalized, kml, state, state or equivalent entity, u.s., united states
Organization: U.S. Census Bureau, Department of Commerce
Series Information File for the  2017 TIGER/Line Shapefile,  Current Place 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.


The TIGER/Line shapefiles include both incorporated places (legal entities) and census designated places or CDPs (statistical entities).  An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division (MCD), which generally is created to provide services or administer an area without regard, necessarily, to population.  Places always nest within a state, but may extend across county and county subdivision boundaries.  An incorporated place usually is a city, town, village, or borough, but can have other legal descriptions.  CDPs are delineated for the decennial census as the statistical counterparts of incorporated places.  CDPs are delineated to provide data for settled concentrations of population that are identifiable by name, but are not legally incorporated under the laws of the state in which they are located.  The boundaries for CDPs often are defined in partnership with state, local, and/or tribal officials and usually coincide with visible features or the boundary of an adjacent incorporated place or another legal entity.  CDP boundaries often change from one decennial census to the next with changes in the settlement pattern and development; a CDP with the same name as in an earlier census does not necessarily have the same boundary.  The only population/housing size requirement for CDPs is that they must contain some housing and population.  

 
The boundaries of most incorporated places in this shapefile are as of January 1, 2015, as reported through the Census Bureau's Boundary and Annexation Survey (BAS).    The boundaries of all CDPs were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2010 Census.

Tags: cdp, census designated place, city, polygon, state or equivalent entity, town, u.s., united states, village
Organization: U.S. Census Bureau, Department of Commerce
Series Information File for the  2017 TIGER/Line Shapefile,  2010 Census  Block 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.


Census Blocks are statistical areas bounded on all sides by visible features, such as streets, roads, streams, and railroad tracks, and/or by nonvisible boundaries such as city, town, township, and county limits, and short line-of-sight extensions of streets and roads.  Census blocks are relatively small in area; for example, a block in a city bounded by streets.  However, census blocks in remote areas are often large and irregular and may even be many square miles in area.  A common misunderstanding is that data users think census blocks are used geographically to build all other census geographic areas, rather all other census geographic areas are updated and then used as the primary constraints, along with roads and water features, to delineate the tabulation blocks.  As a result, all 2010 Census blocks nest within every other 2010 Census geographic area, so that Census Bureau statistical data can be tabulated at the block level and aggregated up to the appropriate geographic areas.  Census blocks cover all territory in the United States, Puerto Rico, and the Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands).  Blocks are the smallest geographic areas for which the Census Bureau publishes data from the decennial census.  A block may consist of one or more faces.  


Tags: block, census block, polygon, state or equivalent entity, u.s., united states
Organization: U.S. Census Bureau, Department of Commerce
Series Information File for the 2018 TIGER/Line Shapefile,  Area Landmark State-based Shapefile

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB).  The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation.


The Census Bureau includes landmarks in the MTDB for locating special features and to help enumerators during field operations.  Some of the more common landmark types include area landmarks such as airports, cemeteries, parks, schools, and churches and other religious institutions.  The Census Bureau added landmark features to MTDB on an as-needed basis and made no attempt to ensure that all instances of a particular feature were 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 each appear in their own separate shapefiles, MIL.shp and AREAWATER.shp respectively.  


Tags: area landmark, polygon, state or equivalent entity
Organization: U.S. Census Bureau, Department of Commerce
Series Information File for the 2018 TIGER/Line Shapefile,  Current County Subdivision 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.


County subdivisions are the primary divisions of counties and their equivalent entities for the reporting of Census Bureau data. They include legally-recognized minor civil divisions (MCDs) and statistical census county divisions (CCDs), and unorganized territories.  For the 2010 Census, the MCDs are the primary governmental and/or administrative divisions of counties in 29 States and Puerto Rico; Tennessee changed from having CCDs for Census 2000 to having MCDs for the 2010 Census.  In MCD States where no MCD exists or is not defined, the Census Bureau creates statistical unorganized territories to complete coverage.  The entire area of the United States, Puerto Rico, and the Island Areas are covered by county subdivisions.  The boundaries of most legal MCDs are as of January 1, 2015, as reported through the Census Bureau's Boundary and Annexation Survey (BAS).  


The boundaries of all CCDs, delineated in 20 states, are those as reported as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2010 Census.


Tags: barrio, ccd, census county division, county subdivision, mcd, minor civil division, polygon, state or equivalent entity, subdivision, town, township, u.s., united states, unorganized territory, ut
Organization: U.S. Census Bureau, Department of Commerce
Series Information File for the 2018 TIGER/Line Shapefile,  Current Place 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.


The TIGER/Line shapefiles include both incorporated places (legal entities) and census designated places or CDPs (statistical entities).  An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division (MCD), which generally is created to provide services or administer an area without regard, necessarily, to population.  Places always nest within a state, but may extend across county and county subdivision boundaries.  An incorporated place usually is a city, town, village, or borough, but can have other legal descriptions.  CDPs are delineated for the decennial census as the statistical counterparts of incorporated places.  CDPs are delineated to provide data for settled concentrations of population that are identifiable by name, but are not legally incorporated under the laws of the state in which they are located.  The boundaries for CDPs often are defined in partnership with state, local, and/or tribal officials and usually coincide with visible features or the boundary of an adjacent incorporated place or another legal entity.  CDP boundaries often change from one decennial census to the next with changes in the settlement pattern and development; a CDP with the same name as in an earlier census does not necessarily have the same boundary.  The only population/housing size requirement for CDPs is that they must contain some housing and population.  

 
The boundaries of most incorporated places in this shapefile are as of January 1, 2015, as reported through the Census Bureau's Boundary and Annexation Survey (BAS).    The boundaries of all CDPs were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2010 Census.

Tags: cdp, census designated place, city, polygon, state or equivalent entity, town, u.s., united states, village
Organization: U.S. Census Bureau, Department of Commerce
Series Information File for the 2018 TIGER/Line Shapefile,  2010 Census  Block 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.


Census Blocks are statistical areas bounded on all sides by visible features, such as streets, roads, streams, and railroad tracks, and/or by nonvisible boundaries such as city, town, township, and county limits, and short line-of-sight extensions of streets and roads.  Census blocks are relatively small in area; for example, a block in a city bounded by streets.  However, census blocks in remote areas are often large and irregular and may even be many square miles in area.  A common misunderstanding is that data users think census blocks are used geographically to build all other census geographic areas, rather all other census geographic areas are updated and then used as the primary constraints, along with roads and water features, to delineate the tabulation blocks.  As a result, all 2010 Census blocks nest within every other 2010 Census geographic area, so that Census Bureau statistical data can be tabulated at the block level and aggregated up to the appropriate geographic areas.  Census blocks cover all territory in the United States, Puerto Rico, and the Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands).  Blocks are the smallest geographic areas for which the Census Bureau publishes data from the decennial census.  A block may consist of one or more faces.  


Tags: block, census block, polygon, state or equivalent entity, u.s., united states
Organization: U.S. Census Bureau, Department of Commerce