AndreaBozzo/ceres-open-data-index huggingface dataset:
Assessing reproductive effects of aromatase inhibition on fishes with group-synchronous oocyte development using western mosquitofish (Gambusia affinis) as a model

Predictive models and frameworks for linking inhibition of the enzyme aromatase, as measured in non-animal high throughput screening assays, to adverse effects on reproduction in fish have been established. However, those models were established using data from several fish species commonly reared in the laboratory that employ a particular reproductive strategy involving asynchronous oocyte development and repeat spawning. Many fish species employ synchronous oocyte development and spawn annually. This product was intended to help address the question of whether the current approaches for predicting impacts of aromatase inhibitors are applicable to fish with a synchronous/annual spawning reproduction strategy. The study establishes the mosquitofish as a viable laboratory model with synchronous oocyte development and provides preliminary evidence that exposure to aromatase inhibitors during a critical period of the reproductive cycle can lead to adverse effects on fish reproduction. 

This dataset provides all the data used to generate the tables and figures presented in Doering et al. "Assessing reproductive effects of aromatase inhibition on fishes with group-synchronous oocyte development using Western Mosquitofish (Gambusia affinis) as a model."  Data are organized as separate tabs in an Excel spreadsheet with a cover sheet, followed by a separate tab for each Figure and Table from the manuscript.

Tags: adverse-outcome-pathway, aquatic-ecosystems, ecotoxicology, endocrine-disruption, screening-and-prioritization
Organization: U.S. Environmental Protection Agency
Dataset for ORD-033364: Identification of Novel Activators of the Metal Responsive Transcription Factor (MTF-1) Using a Gene Expression Biomarker in a Microarray Compendium

The microarray experiments examined in the study. 

This dataset is associated with the following publication:
Jackson, A., J. Liu, B. Vallanat, C. Jones, M. Nelms, G. Patlewicz, and J. Corton. Identification of Novel Activators of the Metal Responsive Transcription Factor (MTF-1) Using a Gene Expression Biomarker in a Microarray Compendium.   Metallomics. Royal Society of Chemistry, London,  UK, 12(9): 1400-1415, (2020).

Tags: high-throughput-screening, metal-responsive-transcription-factor-1, metals, nrf2, oxidative-stress, toxicogenomics, transcript-profiling
Organization: U.S. Environmental Protection Agency
National Survey of Family Growth

The National Survey of Family Growth (NSFG) gathers information on family life, marriage and divorce, pregnancy, infertility, use of contraception, and men's and women's health. The survey results are used by the U.S. Department of Health and Human Services and others to plan health services and health education programs, and to do statistical studies of families, fertility, and health.  Years included:  1973, 1976, 1982, 1988, 1995, 2002, 2006-2010;  Data use agreement at time of file download: 

Tags: families, fertility, health, rape, sexual-assault
Organization: U.S. Department of Health & Human Services
Isotope ratio mass spectrometry (IRMS) and spectroscopic techniques for microplastic characterization

The IRMS data set contains average d13c value comparisons of various polymer types. FTIR and micro-Raman spectroscopy data is also included that characterizes all collected samples. 

This dataset is associated with the following publication:
Birch, Q.T., P.M. Potter, P.X. Pinto, D.D. Dionysiou, and S.R. Al-Abed. Isotope ratio mass spectrometry and spectroscopic techniques for microplastics characterization.   TALANTA. Elsevier Science Ltd, New York, NY, USA, 224: 121743, (2021).

Tags: irms, microplastics, nanoplastics, plastic-waste, polymer-degradation
Organization: U.S. Environmental Protection Agency
Fragmentation of polymer nanocomposites

Data base includes SEM and digital photo images of aged nanomaterials, FTIR and UV-Vis spectroscopy data, contact angle of water on aged surfaces. 

This dataset is associated with the following publication:
Zepp, R., E. Ruggiero, B. Acrey, M.J.B. Davis, C. Han, H. Hsieh, K. Vilsmeier, W. Wohlleben, and E. Sahle-Demessie. Fragmentation of polymer nanocomposites: modulation by dry and wet weathering, fractionation, and nanomaterial filler.   Environmental Science: Nano. RSC Publishing, Cambridge,  UK, 7: 1742-1758, (2020).

Tags: accelerate-tests, nanoenabled-materials, nanoreleased, wet-dry-aging-tests
Organization: U.S. Environmental Protection Agency
Service Locator - Family Planning Title X

This locator tool will help you find Title X family planning centers that provide high quality and cost-effective family planning and related preventive health services for low-income women and men. 

Family planning centers offer a broad range of FDA-approved contraceptive methods and related counseling; as well as breast and cervical cancer screening; pregnancy testing and counseling; screening and treatment for sexually transmitted infections (STIs); HIV testing; and other patient education and referrals.

4,400 family planning centers serve about 5 million clients each year. Services are provided through state, county, and local health departments; community health centers; Planned Parenthood centers; and hospital-based, school-based, faith-based, other private nonprofits.

Title X staff are specially trained to meet the contraceptive needs of individuals with limited English proficiency, teenagers, and those confronting complex medical and personal issues such as substance abuse, disability, homelessness or interpersonal and domestic violence.

Tags: birth-control, cervical-cancer, community-health, contraceptives, family-planning, health-services, locator, pregnancy, primary-care, providers, sexual-assault, sexually-transmitted-infections, stds, stis, testing, treatment, wellness
Organization: U.S. Department of Health & Human Services
TIGER/Line Shapefile, 2012, Series Information File for the Current Address Ranges Relationship Files

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 Address Ranges Relationship File (ADDR.dbf) contains the attributes of each address range.
               Each address range applies to a single edge and has a unique address range identifier (ARID) value. The edge to which an address range applies can be
               determined by linking the address range to the All Lines Shapefile (EDGES.shp) using the permanent topological edge identifier (TLID) attribute. Multiple
               address ranges can apply to the same edge since an edge can have multiple address ranges. Note that the most inclusive address range associated with each
               side of a street edge already appears in the All Lines Shapefile (EDGES.shp). The TIGER/Line Files contain potential address ranges, not individual
               addresses. The term "address range" refers to the collection of all possible structure numbers from the first structure number to the last structure
               number and all numbers of a specified parity in between along an edge side relative to the direction in which the edge is coded. The address ranges in
               the TIGER/Line Files are potential ranges that include the full range of possible structure numbers even though the actual structures may not exist.
            

Tags: 5-digit zip code, county ansi code, county fips code, county or equivalent entity, from house number, permanent edge id, side indicator flag, state ansi code, state fips code, to house number, u.s., zip +4 code
Organization: U.S. Census Bureau, Department of Commerce
TIGER/Line Shapefile, 2012, Series Information File for the Current Feature Names Relationship Files

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 Feature Names Relationship File (FEATNAMES.dbf) contains a record for each feature name and
               any attributes associated with it. Each feature name can be linked to the corresponding edges that make up that feature in the All Lines Shapefile
               (EDGES.shp), where applicable to the corresponding address range or ranges in the Address Ranges Relationship File (ADDR.dbf), or to both files.
               Although this file includes feature names for all linear features, not just road features, the primary purpose of this relationship file is to identify
               all street names associated with each address range. An edge can have several feature names; an address range located on an edge can be associated with
               one or any combination of the available feature names (an address range can be linked to multiple feature names). The address range is identified by the
               address range identifier (ARID) attribute, which can be used to link to the Address Ranges Relationship File (ADDR.dbf). The linear feature is identified
               by the linear feature identifier (LINEARID) attribute, which can be used to relate the address range back to the name attributes of the feature in the
               Feature Names Relationship File or to the feature record in the Primary Roads, Primary and Secondary Roads, or All Roads Shapefiles. The edge to which a
               feature name applies can be determined by linking the feature name record to the All Lines Shapefile (EDGES.shp) using the permanent edge identifier
               (TLID) attribute. The address range identifier(s) (ARID) for a specific linear feature can be found by using the linear feature identifier (LINEARID)
               from the Feature Names Relationship File (FEATNAMES.dbf) through the Address Range / Feature Name Relationship File (ADDRFN.dbf).

Tags: county ansi code, county fips code, county or equivalent entity, feature names, maftiger feature class code, name, permanent edge id, prefix direction code, prefix qualifier code, prefix type code description, primaryalternate code, state ansi code, state fips code, suffix direction code, suffix qualifier code, suffix type code, table, u.s.
Organization: U.S. Census Bureau, Department of Commerce
EPA-Generated_Data_for_Banerji_et_al._Ecological_Role_of_MC

Data used to generate Figures 2, 3, and 4 as we ll as Table 3. 

This dataset is associated with the following publication:
Banerji, A., M. Bagley, J. Shoemaker, D. Tettenhorst, C. Nietch, J. Allen, and J. Santodomingo. Evaluating putative ecological drivers of microcystin spatiotemporal dynamics using metabarcoding and environmental data.   Harmful Algae. Elsevier B.V., Amsterdam,  NETHERLANDS, 86: 84-95, (2019).

Tags: 16s-rrna, 18s-rrna-gene, cyanobacteria
Organization: U.S. Environmental Protection Agency
The role of HONO in O3 formation and insight into its formation mechanism during the KORUS-AQ campaign

Data collected for this research provides information on mixing layer heights and in-situ formaldehyde concentrations at Olympic Park during the KORUS-AQ field campaign. 

This dataset is associated with the following publication:
Gil, J., J. Kim, M. Lee, G. Lee, J. An, D. Lee, J. Jung, S. Cho, A. Whitehill, J. Szykman, J. Lee, and J. Hong. Characteristics of HONO and its impact on O3 formation in the Seoul Metropolitan Area during the Korea-US Air Quality Study.   Atmospheric Environment: X. Elsevier B.V., Amsterdam,  NETHERLANDS, 247: NA, (2021).

Tags: air-quality, formaldehyde, korea, korus-aq, olympic-park, seoul
Organization: U.S. Environmental Protection Agency
U.S. Trade and Investment with Sub-Saharan Africa: Recent Developments Dataset

This data release accompanies USITC Publication 4780, U.S. Trade and Investment with Sub-Saharan Africa: Recent Developments, USITC investigation no. 332-564. The data were used to perform gravity modeling analyses as described in appendix F of the report.

Tags: africa, agoa, sub-saharan-africa
Organization: US International Trade Commission
Lag of Bioretention Planters

Lag delay of four bioretention planters that are located in Hoboken, NJ. Each storm has four observations, one for each planter. Each row has the characteristics that were investigated for whether they contributed to the lag of each planter. 

This dataset is associated with the following publication:
Nissen, K., M. Borst, and E. Fassman-Beck. Bioretention planter performance measured by lag and capture.   Hydrological Processes. John Wiley & Sons, Ltd., Indianapolis, IN, USA, 34(25): 5176-5184, (2020).

Tags: bioretention, flow-through-planters, stormwater-control-measure
Organization: U.S. Environmental Protection Agency
AGE Percent Females by Broad Age Groups CTs 2000


TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau
of the Census. The Redistricting Census 2000 TIGER/Line files are an extract
of selected geographic and cartographic information from the Census TIGER
data base.  The geographic coverage for a single TIGER/Line file is a county
or statistical equivalent entity, with the coverage area based on January 1,
2000 legal boundaries.  A complete set of Redistricting Census 2000 TIGER/Line
files includes all counties and statistically equivalent entities in the United
States and Puerto Rico.  The Redistricting Census 2000 TIGER/Line files will
not include files for the Island Areas. The Census TIGER data base represents
a seamless national file with no overlaps or gaps between parts.  However, each
county-based TIGER/Line file is designed to stand alone as an independent data
set or the files can be combined to cover the whole Nation.  The Redistricting
Census 2000 TIGER/Line files consist of line segments representing physical
features and governmental and statistical boundaries.  The Redistricting Census
2000 TIGER/Line files do NOT contain the ZIP Code Tabulation Areas (ZCTAs) and the address ranges are of approximately the same vintage as those appearing in the 1999 TIGER/Line files.  That is, the Census Bureau is producing the
Redistricting Census 2000 TIGER/Line files in advance of the computer processing that will ensure that the address ranges in the TIGER/Line files agree with the final Master Address File (MAF) used for tabulating Census 2000.  The files contain information distributed over a series of record types for the spatial objects of a county.  There are 17 record types, including the basic data record, the shape coordinate points, and geographic codes that can be used with appropriate software to prepare maps.  Other geographic information contained in the files includes  attributes such as feature identifiers/census feature class codes (CFCC) used to differentiate feature types, address ranges and ZIP Codes, codes for legal and statistical entities, latitude/longitude coordinates of linear and point features, landmark point features, area landmarks, key geographic features, and area boundaries.  The Redistricting Census 2000 TIGER/Line data dictionary contains a complete list of all the fields in the 17 record types.


Tags: address range, boundary, census feature class code (cfcc), coordinate, county, county/county equivalent, feature identifier, geographic entity, landmark feature, latitude/longitude, line feature, new mexico, point/node, political boundary, polygon, statistical boundary, street centerline, street segment, tiger/line, tiger/line identification number (tlid), topology, united states, vector, zip code
Organization: Earth Data Analysis Center, University of New Mexico
Hidalgo County Blocks, Median Age by Sex (2010)

The once-a-decade decennial census was conducted in April 2010 by the U.S. Census Bureau. This count of every resident in the United States was mandated by Article I, Section 2 of the Constitution and all households in the U.S. and individuals living in group quarters were required by law to respond to the 2010 Census questionnaire. The data collected by the decennial census determine the number of seats each state has in the U.S. House of Representatives and is also used to distribute billions in federal funds to local communities. The questionnaire consisted of a limited number of questions but allowed for the collection of information on the number of people in the household and their relationship to the householder, an individual's age, sex, race and Hispanic ethnicity, the number of housing units and whether those units are owner- or renter-occupied, or vacant. Results for sub-state geographic areas in New Mexico were released in a series of data products. These data come from Summary File 1 (SF-1). The geographic coverage for SF-1 includes the state, counties, places (both incorporated and unincorporated communities), tribal lands, school districts, census tracts, block groups and blocks, among others. The data in this particular RGIS Clearinghouse table is for Hidalgo County and all census blocks in the county. Table DC10_00905 shows median age for all persons (both sexes), for males and for females. This file, along with file-specific descriptions (in Word and text formats) are available in a single zip file.

Tags: 2010 census, age, census blocks, decennial census, hidalgo county, median age, sex
Organization: Earth Data Analysis Center, University of New Mexico
Los Alamos County Blocks, Total Population (2010)

The once-a-decade decennial census was conducted in April 2010 by the U.S. Census Bureau. This count of every resident in the United States was mandated by Article I, Section 2 of the Constitution and all households in the U.S. and individuals living in group quarters were required by law to respond to the 2010 Census questionnaire. The data collected by the decennial census determine the number of seats each state has in the U.S. House of Representatives and is also used to distribute billions in federal funds to local communities. The questionnaire consisted of a limited number of questions but allowed for the collection of information on the number of people in the household and their relationship to the householder, an individual's age, sex, race and Hispanic ethnicity, the number of housing units and whether those units are owner- or renter-occupied, or vacant. The first wave of results for sub-state geographic areas in New Mexico was released on March 15, 2011, through the Redistricting Data (PL94-171) Summary File. This batch of data covers the state, counties, places (both incorporated and unincorporated communities), tribal lands, school districts, neighborhoods (census tracts and block groups), individual census blocks, and other areas. The Redistricting products provide counts by race and Hispanic ethnicity for the total population and the population 18 years and over, and housing unit counts by occupancy status. The 2010 Census Redistricting Data Summary File can be used to redraw federal, state and local legislative districts under Public Law 94-171. This is an important purpose of the file and, indeed, state officials use the Redistricting Data to realign congressional and state legislative districts in their states, taking into account population shifts since the 2000 Census. More detailed population and housing characteristics were released in the summer of 2011. The data in this particular RGIS Clearinghouse table are for all blocks in Los Alamos County. The data table provides counts of the total population. This file, along with specific narrative descriptions and definitions (in Word and text formats) are available in a single zip file.

Tags: 2010 census, blocks, decennial census, los alamos county, population
Organization: Earth Data Analysis Center, University of New Mexico
Nodes for Harding County, New Mexico, 2006se TIGER

The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database.  The geographic coverage for a single TIGER/Line file is a county or statistical equivalent entity, with the coverage area based on the latest available governmental unit boundaries. The Census TIGER database represents a seamless national file with no overlaps or gaps between parts.  However, each county-based TIGER/Line file is designed to stand alone as an independent data set or the files can be combined to cover the whole Nation.  The 2006 Second Edition  TIGER/Line files consist of line segments representing physical features and governmental and statistical boundaries.  

This shapefile represents all the nodes stored in the 2006 TIGER Second Edition dataset.

Tags: 2006 tiger second edition, census data, county, harding county, new mexico, nodes, tiger data, united states
Organization: Earth Data Analysis Center, University of New Mexico
Fire Health Main

This model combines stand density index (SDI), basal area loss, drought
				stress, and insect and disease surveys using an equal weight overlay. SDI determines
				the relative density of a stand, and was used in this model to identify where the
				density of small diameter trees is high. Basal area loss is defined as "the
				expectation that, without remediation, 25 percent or more of the standing live basal
				area of trees greater than 1 inch in diameter will die over the next 15 years
				(starting in 2005)." For the purposes of the New Mexico State Assessment, the basal
				area loss data layer represents areas of dense forest/woodlands with large diameter
				trees expected to experience mortality from insect and disease. SDI and basal area
				loss data layers were derived as a part of the 2006 National Insect and Disease Risk
				Map (NIDRM) and based on New Mexico's Forest Inventory Analysis Data from 1987-1999.
				Moisture stress depicts percent of normal precipitation for winter precipitation
				from 2006-2008 and was derived from PRISM precipitation data. Insect and disease
				outbreaks data was limited to past occurrence flyover data for western spruce
				budwrom and western tent catepillar and are based on USFS Forest Health Aerial
				Survey data from 1987-2008 .

Tags: forest health, new mexico, nm statewide natural resources assessment
Organization: Earth Data Analysis Center, University of New Mexico