AndreaBozzo/ceres-open-data-index huggingface dataset:
Soil Points

<div><b><a href='https://maps.lakecountyil.gov/gisdata/soils.zip' target='_blank' rel='nofollow ugc noopener noreferrer'>Download In State Plane Projection Here</a></b><br /></div><div><br /></div>

<b>See the <a href='https://maps.lakecountyil.gov/gisdata/LakeCountySoilsDocumentation.pdf' target='_blank' rel='nofollow ugc noopener noreferrer'>Lake County Soils Documentation</a> for additional information -- including an explanation of data fields.</b><br /><br />

This product includes the <a href='https://soils.usda.gov/' target='_blank' rel='nofollow ugc noopener noreferrer'>United States Department of Agriculture - Natural Resources Conservation Service</a> 2004 Soil Survey data and related information. An intergovernmental funding agreement between the USDA-NRCS, the State of Illinois Department of Agriculture and Lake County made this product possible. This soil information is referred to as SSURGO by NRCS.<br /><br />

The spatial (soil polygons) and tabular (physical and chemical properties) data for all soil survey areas are available free from the <a href='https://websoilsurvey.nrcs.usda.gov/' target='_blank' rel='nofollow ugc noopener noreferrer'>Web Soil Survey website</a>.<br /><br />

Helpful information about soils can be found through the <a href='https://www.nrcs.usda.gov/conservation-basics/conservation-by-state/illinois' target='_blank' rel='nofollow ugc noopener noreferrer'>NRCS Illinois website</a>.<br /><br />

The <a href='https://www.mchenryswcd.org/' target='_blank' rel='nofollow ugc noopener noreferrer'>McHenry-Lake County Soil and Water Conservation District</a> staff can also provide assistance with questions related to soils.

Tags: gnis, lake-county-illinois, soil-survey, soil-survey-geographic, soils, soils-spatial-data, ssurgo, usgs-geographic-names-information-system
Organization: Lake County, Illinois
CollegeEnrollment12m 20162017 byCntySub  20190722

<span style='font-family: &quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size: 16px;'>This dataset contains college enrollment information, by County Subdivison, for the state of Michigan. College enrollment was defined as the number of public high school students who graduated in 2017, who enrolled in a college or university within 12 months of their high school graduation. This dataset includes enrollment in two-year and four-year institutions of higher education.</span><div><span style='font-family: &quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size: 16px;'><br /></span></div><div><font face='Avenir Next W01, Avenir Next W00, Avenir Next, Avenir, Helvetica Neue, sans-serif'><span style='font-size: 16px;'>Click </span></font><a href='https://datadrivendetroit.org/metadata/CollegeEnrollment12m_2017_byCountySub_Metadata_20190722.xlsx' target='_blank'>here </a><font face='Avenir Next W01, Avenir Next W00, Avenir Next, Avenir, Helvetica Neue, sans-serif'><span style='font-size: 16px;'>for metadata (descriptions of the fields).</span></font><br /></div>

Tags: education
Organization: City of Ferndale, Michigan
Lake County, IL ADID Wetlands

<p><b><a href='https://maps.lakecountyil.gov/gisdata/adid.zip' target='_blank' rel='nofollow ugc noopener noreferrer'>Download In State Plane Projection Here</a>. </b><br /></p><p>Boundaries of designated high quality ADID wetlands established as a result of a formal process under the direction of the <a href='https://www.epa.gov/' rel='nofollow ugc'>U.S. Environmental Protection</a> Agency. Part 404(b)(1) of the Clean Water Act authorizes the USEPA and the <a href='https://www.usace.army.mil/' rel='nofollow ugc'>US Army Corps of Engineers</a>
 to identify in advance of specific permit requests aquatic sites which 
will be considered as areas generally unsuitable for disposal of dredged
 or fill material. This process is called an Advanced Identification or 
ADID. Under the ADID process identification of an area as generally 
unsuitable for fill does not prohibit applications for permits to fill 
in these areas. Therefore the ADID designation of unsuitability is 
advisory not regulatory.</p>

        <p>An ADID designation lets a potential applicant know in 
advance that a proposal to fill such a site is not likely to be 
consistent with the 404(b)(1) guidelines, and the USEPA will probably 
request permit denial.</p>

        <p>ADID wetland information is also useful in watershed 
planning, land use planning, public land acquisition programs, natural 
resource studies and other purposes.</p>

        <p>The wetland selection criteria and methodology are documented
 in the publication entitled &quot;Advanced Identification (ADID) Study, Lake
 County, Illinois. Final Report, November 1992&quot; which is included in 
this download.</p>

        <p>Boundaries were delineated by the ADID project team on 
orthophotograph background with an intended usage scale of 1&quot; = 400', a 
scale ratio of 1:4800.</p>

Tags: adid, hydrology, lake-county-illinois, surface-water, surface-water-spatial-data, water, wetlands
Organization: Lake County, Illinois
Lake County Wetland Inventory

<div><b><a href='https://maps.lakecountyil.gov/gisdata/lcwi2002.zip' target='_blank' rel='nofollow ugc noopener noreferrer'>Download In State Plane Projection Here</a></b><br /></div><div><br /></div>

The Lake County Wetland Inventory (LCWI) maps natural and artificial wetlands meeting definitions established by the federal agencies who work with the Lake County Geographic Information System staff to periodically review and update it. These agencies include the <a href='https://www.epa.gov/' rel='nofollow ugc'>United States Environmental Protection Agency</a>, the <a href='https://www.fws.gov/' rel='nofollow ugc'>U.S. Fish and Wildlife Service</a>, the <a href='https://www.wli.nrcs.usda.gov/wps/portal/nrcs/site/national/home' rel='nofollow ugc'>USDA Natural Resources Conservation Service</a> and the <a href='https://www.usace.%20army.mil/Missions/CivilWorks/RegulatoryProgramandPermits.aspx' rel='nofollow ugc'>United States Army Corps of Engineers.</a><br /><br />

The 1989 federal wetland delineation standards for offsite wetland mapping are used. This data was last published in March of 1993. This update includes changes to the previous version of LCWI including: adjust current wetland boundaries to omit development, including roads; to fine tune boundary placement where that was intended by the original delineation, in some cases, adjust the wetland to photographic features / signature; delete wetlands which the committee decided were mapped in error - for example, trees which were mistaken for wet areas; create polygons for newly delineated artificial wetlands; and newly delineated wetlands or farmed wetlands caused by the continued deterioration of the agricultural drain tile system and increased runoff due to urbanization.<br /><br />

The LCWI is a useful tool for general planning and review purposes, but it does not take the place of an on-site delineation by a certified wetland specialist.<br /><br />

High resolution (1&quot; = 100') orthorectified aerial imagery captured in April 2002 was used as the base for this update. Other data used as reference for this update include: 2004 SOIL SURVEY GEOGRAPHIC (SSURGO) DATABASE FOR LAKE COUNTY, IL - U.S. Department of Agriculture, Natural Resources Conservation Service; HYDROLOGY2002 - Lake County GIS/Map Division; 2' topography (CONTOURS) - Lake County GIS/Map Division; and various years of historical aerial photography for clarification. By using the more recent higher resolution photography, the resulting updated wetland boundaries are more accurate then the original boundaries published in 1993.

Tags: hydrology, lake-county-illinois, lcwi, surface-water, surface-water-spatial-data, water, wetlands
Organization: Lake County, Illinois
Dataset for Saavedra et al.

Data in each figure of the publication are provided in different tabs of the excel spreadsheet. There were multiple concentrations tested, which are listed in the rows of the sheet. Each column is a different replicate. 

This dataset is associated with the following publication:
Saavedra, L., K. Wallace, T. Freudenrich, M. Mall, W. Mundy, J. Davila, T. Shafer, M. Wernig, and D. Haag. Comparison of Acute Effects of Neurotoxic Compounds on Network Activity in Human and Rodent Neural Cultures.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  180(2): 295-312, (2021).

Tags: human, microelectrode-array, neurotoxicity, screening
Organization: U.S. Environmental Protection Agency
Craniometric Determinants of FFE_Ver1_2023

This data was collected and used to generate the tables and figures for the associated research product. This dataset includes the craniometrics measurements and fitted filtration efficiencies for all 100 subjects. Fitted filtration efficiencies are reported as overall means and standard deviations for each of the nine mask testing conditions outlined in the associated publication. 

This dataset is associated with the following publication:
Griffin, J., E. Mcinroe, E. Pennington, W. Steinhardt, H. Chen, S. Prince, and J. Samet. Craniometric Determinants of the Fitted Filtration Efficiency of Disposable Masks.   Frontiers in Public Health. Frontiers, Lausanne,  SWITZERLAND, 12: 1444411, (2024).

Tags: air-quality-emergencies, craniofacial-morphology, disposable-respiratory-protection, fitted-filtration-efficiency
Organization: U.S. Environmental Protection Agency
The effect of enriched versus inadequate housing conditions on eucalyptus smoke-induced cardiovascular dysfunction in mice_Complete dataset

This dataset represents the results of a study investigating the cardiopulmonary effects of enriched versus depleted housing in mice and the response to eucalyptus wildfire smoke. 

This dataset is associated with the following publication:
Harmon, M., M. Fiamimigo, S. Toler, K. Lee, Y. Kim, B. Martin, I. Gilmour, A. Farraj, and M. Hazari. The effect of enriched versus depleted housing on eucalyptus smoke-induced cardiovascular dysfunction in mice..   INHALATION TOXICOLOGY. Taylor & Francis, Inc., Philadelphia, PA, USA, 36(6): 355-366, (2024).

Tags: cardiovascular-disease, enrichment, eucalyptus-smoke, housing, wildfire
Organization: U.S. Environmental Protection Agency
Housing, wildfire smoke, and allostatic load in mice_complete data

Raw data used to calculate means and perform statistical analysis for the figures presented in Fiamingo et al. manuscript - Presents cardiopulmonary, biological and other related data. 

This dataset is associated with the following publications:
Fiamingo, M., A. Bailey, S. Toler, K. Lee, W. Oshiro, B. Yoo, Q. Krantz, P. Evansky, D. Davies, M. Gilmour, A. Farraj, i. Jaspers, and M. Hazari. Enriched housing differentially alters allostatic load and cardiopulmonary responses to wildfire-related smoke in male and female mice..   JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH - PART A:  CURRENT ISSUES. Taylor & Francis, Inc., Philadelphia, PA, USA, 187(14): 561-578, (2024).
Harmon, M., M. Fiamimigo, S. Toler, K. Lee, Y. Kim, B. Martin, I. Gilmour, A. Farraj, and M. Hazari. The effect of enriched versus depleted housing on eucalyptus smoke-induced cardiovascular dysfunction in mice..   INHALATION TOXICOLOGY. Taylor & Francis, Inc., Philadelphia, PA, USA, 36(6): 355-366, (2024).

Tags: air-pollution, allostatic-load, cardiovascular, childrens-environmental-health, climate-change, environmental-justice, eucalyptus-wildfire-smoke, housing, mouse, nitrogen-and-co-pollutants, smoke, wildfire
Organization: U.S. Environmental Protection Agency
Diatom and environmental data

These raw data associated with this research were collected as part of the United States Environmental Protection Agency's 2018-2019 National Rivers and Streams Assessment (NRSA). The worksheet "Water chemistry data" includes environmental variables examined in this study including total phosphorus (TP), total nitrogen (TN), conductivity, pH, and ecoregion. The worksheet "Diatom ASVs" includes relative abundances of gene sequence reads for each amplicon sequence variant (ASV), which are referred to as taxa. 

This dataset is associated with the following publication:
Smucker, N., E. Pilgrim, C. Nietch, L. Gains-Germain, C. Carpenter, J. Darling, L. Yuan, R. Mitchell, and A. Pollard. Using DNA metabarcoding to characterize national scale diatom-environment relationships and to develop indicators in streams and rivers of the United States.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 939: 173502, (2024).

Tags: algae, bioassessment, biomonitoring, conductivity, diatoms, dna-metabarcoding, indicators, nitrogen, nutrients, ph, phosphorus, rivers, streams
Organization: U.S. Environmental Protection Agency
Zinc x-ray absorption spectroscopy (XAS) data and speciation modelling by linear combination fitting (LCF) with standard spectra

Soil samples were collected from the remediated site according to methods included in the manuscript. Soil samples were prepared by grinding in mortar and pestle and pressing into a 7-mm diameter pellet for X-ray absorption measurement. Sample pellets were measured at Argonne National Laboratory's Advanced Photon Source (APS) in Chicago, IL. X-ray fluorescence was collected while scanning x-ray energy belowe and above the Zinc (Zn) K-edge (9659 eV). Spectra were energy calibrated, background subtracted and spectra modelled in the Athena module of the Demeter software package. Linear combination of standard spectra of Zn species were used to model sample spectra. Model data is in this attached dataset. 

This dataset is associated with the following publication:
Ippolito, J.A., L. Li, T. Banet, J.E. Brummer, C. Buchanan, A.R. Betts, K. Scheckel, N. Basta, and S.L. Brown. Soil health as a proxy for long-term reclamation success of metal-contaminated mine tailings using lime and biosolids.   Soil & Environmental Health. Elsevier B.V., Amsterdam,  NETHERLANDS, 2(3): 100096, (2024).

Tags: alluvial-mine-tailings, animal-health, contaminated-soil, plant-health, reclamation, soil-health, soil-management-assessment-framework, x-ray-absorption-near-edge-structure-spectroscopy, x-ray-absorption-spectroscopy, zinc
Organization: U.S. Environmental Protection Agency
A biochar selection method for remediating heavy metal contaminated mine tailings

Soil chemistry, soil extracts, biochar challenge data. This dataset is not publicly accessible because: First author organization owns the data. It can be accessed through the following means: Contact first author. Format: Excel Spreadsheet. 

This dataset is associated with the following publication:
Ippolito, J., T. Ducey, K.A. Spokas, K. Trippe, and M. Johnson. A biochar selection method for remediating heavy metal contaminated mine tailings.   International Journal of Environmental Science and Technology. Springer, Heidelburg,  GERMANY,  05621-9, (2024).

Tags: biochar, metal-contamination, remediation, soils, splp, superfund
Organization: U.S. Environmental Protection Agency
Effects of Simulated Glyphosate Drift to Native Prairie Plants and Canola-Compatible Brassicaceae Species of North Dakota, United States

Greenhouse, chemistry, and glyphosphate data from the study. 

This dataset is associated with the following publication:
Olszyk, D., T. Pfleeger, M. Nash, and M. Plocher. Effects of Simulated Glyphosate Drift to Native Prairie Plants and Canola-Compatible Brassicaceae Species of North Dakota, United States.   Crop Protection. Elsevier B.V., Amsterdam,  NETHERLANDS, 182: 106692, (2024).

Tags: dicamba, ecotoxicology, glyphosate, herbicide, non-target-plants
Organization: U.S. Environmental Protection Agency
Hydrologic and Water Quality System HUC2 regions data

The study results and data used and produced in this study along with developed R-programming based parallel processing calibration approach are available through Texas Data Repository at https://doi.org/10.18738/T8/A9X5ET (Srinivasan et al., 2023). The data also includes the necessary information to reproduce the figures and tables presented in the study.
The calibrated parameter values are also available through the HAWQS (Hydrologic and Water Quality System; https://hawqs.tamu.edu/#/). Although this manuscript covers only phase I (HUC2-02 Mid-Atlantic Region) results of the study, calibration data for all 18 HUC2 regions across CONUS will be available through the Texas Data Repository and HAWQS as this national scale calibration project progresses. Calibration parameter sets and watershed calibrations statistics for HUC2 regions 01 to 12 are available through the TDR and HAWQS. For additional information, please contact the corresponding author. 

This dataset is associated with the following publication:
Bawa, A., K. Mendoza, R. Srinivasan, R. Parmar, D. Smith, K. Wolfe, J. Johnston, and J. Corona. Calibration using R-programming and parallel processing at the HUC12 subbasin scale in the Mid-Atlantic region: Development of national SWAT hydrologic calibration.   ENVIRONMENTAL MODELLING & SOFTWARE. Elsevier Science, New York, NY,   176: 106019, (2024).

Tags: calibration, hawqs, hydrology, modeling, swat-cup
Organization: U.S. Environmental Protection Agency
Computing the Elastic Shape Registration of Two Surfaces in 3D Space withGradient Descent and Dynamic Programming

A zip file by the name ESD_surf_gradesc.zip which contains asoftware package that can be used to compute the elastic shape registration of two simplesurfaces in 3-dimensional space and the elastic shape distance between them with an algorithmbased on gradient descent for reparametrizing one of the surfaces using as the input initialsolution to the algorithm the rotation and reparametrization computed with another algorithmbased on dynamic programming for reparametrizing one of the surfaces to obtain a partial elasticshape registration of the two surfaces.

Tags: diffeomorphism, dynamic-programming, elastic-shape-distance, gradient-descent, reparametrization, shape-analysis
Organization: National Institute of Standards and Technology
Feature Description for Assessing Autonomous Vehicle Performance

This template presents a structured methodology for describing and assessing automated vehicle (AV) features, with a focus on ensuring comprehensive standardization and reproducibility in testing across various scenarios. The document delineates a systematic approach to integrating operational design domains (ODD), levels of automation, and behaviors into AV feature descriptions. Through the development of a feature description framework and a corresponding testing template, the document demonstrates how to measure and validate the performance of AV features under controlled and variable conditions. Key elements of the feature description framework include detailed behavior specifications, performance metrics, and scenario-based testing, which are essential for evaluating the effectiveness and safety of AV technologies. This template can be used as a tool to describe and test the AV feature in high-fidelity simulation environment. The outcomes aim to enhance communication among manufacturers, regulators, and other stakeholders, promoting a unified understanding of AV capabilities and compliance.

Tags: autonomous-vehicle-av-operational-design-domain-odd-operating-envelope-specification-oes-behavi
Organization: National Institute of Standards and Technology
CollegeEnrollment12m 20162017 bySchDist  20190722

<span style='font-family: &quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size: 16px;'>This dataset contains college enrollment information, by School District, for the state of Michigan. College enrollment was defined as the number of public high school students who graduated in 2017, who enrolled in a college or university within 12 months of their high school graduation. This dataset includes enrollment in two-year and four-year institutions of higher education.</span><div><span style='font-family: &quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size: 16px;'><br /></span></div><div><font face='Avenir Next W01, Avenir Next W00, Avenir Next, Avenir, Helvetica Neue, sans-serif'><span style='font-size: 16px;'>Click </span></font><a href='https://datadrivendetroit.org/metadata/CollegeEnrollment12m_2017_bySchoolDistrict_Metadata_20190722.xlsx' target='_blank'>here </a><font face='Avenir Next W01, Avenir Next W00, Avenir Next, Avenir, Helvetica Neue, sans-serif'><span style='font-size: 16px;'>for metadata (descriptions of the fields).</span></font><br /></div>

Tags: education
Organization: City of Ferndale, Michigan
High-Resolution Floating Solar PV Data

This dataset contains over two years of 1-minute resolution data collected from four floating solar sites, as well as data from a land-based PV system co-located with one of the floating sites. The dataset includes highly granular module temperature measurements - five modules per floating site, with three sensors per module, totaling 15 module temperature sensors per floating site. In addition to the module temperature data, meteorological data collected at the floating sites is also included, along with traditional PV system-level parameters. The data is intended for analysis of solar energy production, efficiency, and performance degradation over time.

For information about the data file usage see the "README" resource below. See "Metadata File" for information about individual files and other metadata information.

Tags: data, energy, floating, measurements, meteorological, photovoltaic, power, pv, raw-data, solar, solar-power, temperature, water
Organization: Department of Energy
USEPA National Aquatic Resource National Rivers and Streams Assessment 2008–2009 (data and metadata Survey files); USEPA National Aquatic Resource National Rivers and Streams Assessment 2013–2014 (data and metadata Survey files).

USEPA National Aquatic Resource Surveys 2008-9 and 2013-14 Physical Habitat and Landscape data for Rivers and Streams (NRSA).
Daily flow and peak flow from the National Water Information System (https://waterdata.usgs.gov/nwis). 

This dataset is associated with the following publication:
Kaufmann, P., D. Carlisle, J. Faustini, M. Weber, A. Herlihy, R. Hill, A. Kasprak, and S. Paulsen. Quantifying form resistance is essential for estimating summer low and bankfull flow from stream survey channel morphology.   Geomorphology. Elsevier BV, AMSTERDAM,  NETHERLANDS, 466: 109360, (2024).

Tags: hydrology, modeling, nars-national-aquatic-resource-survey, streamflow, surface-water
Organization: U.S. Environmental Protection Agency
Diatom and Environmental Data

Raw data associated with this research. 

This dataset is associated with the following publication:
Yuan, L., R. Mitchell, E. Pilgrim, and N. Smucker. Inferences based on diatom compositions improve estimates of nutrient concentrations in streams.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 952: 176032, (2024).

Tags: bioassessment, diatoms, dna-metabarcoding, indicators, nitrogen, nutrients, phosphorus, rivers, streams
Organization: U.S. Environmental Protection Agency