AndreaBozzo/ceres-open-data-index huggingface dataset:
Part B State Performance Plans (SPP) and Annual Performance Report (APR)

This site offers links to the data and additional information related to the Individuals with Disabilities Education Act (IDEA) Part B state performance plan/annual performance reports (SPP/APR). IDEA requires each state to develop an SPP/APR that evaluates the state’s efforts to implement the requirements and purposes of the IDEA and describes how the state will improve its implementation. The SPP/APRs include indicators that measure child and family outcomes and other indicators that measure compliance with the requirements of the IDEA.

In addition, each state reports annually to the public on the performance of each of its local educational agencies according to the targets in its SPP. The state also reports annually to the Secretary on its performance in meeting its SPP targets. This report is called the Part B Annual Performance Report (APR), this report must also be posted on the state's website.

The Office of Special Education Programs' (OSEP) responses to the states' SPP and APRs are posted on this page as letters are issued.

Prior to December 2005, OSEP required the submission of Annual Performance Reports under 34 CFR 80.40. OSEP required states to submit Part C APRs in July 2003, and both Part B and Part C APRs on March 31, 2004. OSEP responses to those submissions are included below.

Please note: Office of Special Education Programs Monitoring and State Improvement Planning Division 550 12th Street, SW Washington, DC 20202-2600 Telephone: 202-245-7584

If a state is not listed on this page, no data is available at this time.

Tags: accountability, annual-performance-reports, idea, individuals-with-disabilities-education-act, osers, part-b, special-education, state-performance-plan
Organization: Department of Education
Data on county-level forest tree carbon estimates from Reese et al. "Geographic variation in projected US forest aboveground carbon responses to climate change and atmospheric deposition"

This is the data for Reese et al. in Environmental Research Letters  "Geographic variation in projected US forest aboveground carbon responses to climate change and atmospheric deposition." It includes the estimated forest aboveground carbon from 2010 to 2100 for each forested county in the contiguous U.S. across all 20 scenarios analyzed. 

Tags: biodiversity, carbon, climate-change, forest, nitrogen-and-co-pollutants, tree
Organization: U.S. Environmental Protection Agency
Linked data for Wildfire Impact Modeling with Counterfactual Probabilistic Analysis

The datasets analyzed for this study can be found in the USDA Forest Service Research Data Archive. The "date of last update" was required in this entry but I could not find exact information on this in the Forest Service data repository website but metadata indicated April of 2022 upload. 

This dataset is associated with the following publication:
Thompson, M.P., and J.F. Carriger. Avoided wildfire impact modeling with counterfactual probabilistic analysis.  Luciana Ghermandi  Frontiers in Forests and Global Change. Frontiers, Lausanne,  SWITZERLAND, 6: 1266413, (2023).

Tags: climate, computer-simulation, effectiveness, event-attribution, fuels-management, mitigation, risk
Organization: U.S. Environmental Protection Agency
Building Resilience to Extreme Weather Events in Phoenix: Considering Contaminated Sites and Under-resourced Communities

The dataset includes tables of the 58 indicator datasets (dataset descriptions, data formats, links to publicly available data sources for producing GIS data layers). 

This dataset is associated with the following publications:
Sinha, P., M. Fry, S. Julius, R. Truesdale, J. Cajka, M. Eddy, P. Doraiswamy, R. Albright, J. Riemenschneider, M. Potzler, B. Lim, J. Richkus, and M. O'Neal. Building Resilience to Extreme Weather Events in Phoenix: Considering Contaminated Sites and Under-resourced Communities.   Climate Risk Management. Elsevier B.V., Amsterdam,  NETHERLANDS, 43: 100586, (2024).
Sinha, P., R. Truesdale, M. Fry, and S. Julius. Handbook on Indicators of Community Vulnerability to Extreme Events: Considering Sites and Waste Management Facilities. U.S. Environmental Protection Agency, Washington, DC, USA, 2023.
Sinha, P., S. Julius, M. Fry, R. Truesdale, J. Cajka, M. Eddy , P. Doraiswamya, and D. Womacka. Assessing community vulnerability to extreme events in the presence of contaminated sites and waste management facilities: An indicator approach.   Urban Climate. Elsevier Science, New York, NY,   53(101800): 1-30, (2024).

Tags: indicators, vulnerability
Organization: U.S. Environmental Protection Agency
Data used in the analysis documented in "Revisiting Day-of-Week Ozone Patterns in an Era of Evolving U.S. Air Quality"

This dataset hosted at https://zenodo.org/records/10222897 contains observed and CMAQ estimated gas species data and meteorological data that were used in the analysis documented in the manuscript "Revisiting Day-of-Week Ozone Patterns in an Era of Evolving U.S. Air Quality".  The files are packages as a set of .tar.gz files with a corresponding Data Dictionary that contains meta data for each data file. 

This dataset is associated with the following publication:
Simon, H., C. Hogrefe, A. Whitehill, K. Foley, J. Liljegren, N. Possiel, B. Wells, B. Henderson, L. Valin, G. Tonnesen, K. Appel, and S. Koplitz. Revisiting day-of-week ozone patterns in an era of evolving US air quality.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 24(3): 1855-1871, (2024).

Tags: chemical-regime, equates, ozone, weekday, weekend
Organization: U.S. Environmental Protection Agency
Mass spec data from AFFF headspace and combustion

This data represents processed data from chemical ionization time of flight mass spectrometry instrument used to generate each figure in the manuscript. A data dictionary is included in the dataset. 

This dataset is associated with the following publication:
Mattila, J., J. Krug, W. Roberson, R. Burnette, S. McDonald, P. Virtaranta, J. Offenberg, and W. Linak. Characterizing volatile emissions and combustion by-products from aqueous film-forming foams using online chemical ionization mass spectrometry.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA,  0, (2024).

Tags: afff, chemical-ionization-mass-spectrometry, pfas, thermal-treatment
Organization: U.S. Environmental Protection Agency
Establishing performance metrics for quantitative non-targeted analysis: a demonstration using per- and poly-fluoroalkyl substances

Non-targeted analysis (NTA) is an increasingly popular technique for characterizing undefined chemical analytes. Generating quantitative NTA (qNTA) concentration estimates requires the use of training data from calibration “surrogates”. The use of surrogate training data can yield diminished performance of concentration estimation approaches. In order to evaluate performance differences between targeted and qNTA approaches, we defined new metrics that convey predictive accuracy, uncertainty (using 95% inverse confidence intervals), and reliability (the extent to which confidence intervals contain true values). We calculated and examined these newly defined metrics across five quantitative approaches applied to a mixture of 29 per- and polyfluoroalkyl substances (PFAS). The quantitative approaches spanned a traditional targeted design using chemical-specific calibration curves to a generalizable qNTA design using bootstrap-sampled calibration values from chemical surrogates. 

This dataset is associated with the following publication:
Pu, S., J. McCord, J. Bangma, and J. Sobus. Establishing performance metrics for quantitative non-targeted analysis: a demonstration using per- and polyfluoroalkyl substances.   Analytical and Bioanalytical Chemistry. Springer, New York, NY, USA, 416: 1249-1267, (2024).

Tags: chemical-analytes, performance-metrics, pfas, qnta
Organization: U.S. Environmental Protection Agency
Climate change will impact surface water extents across the central United States - underlying data

surface water data and projections produced for 32 sites in the central US. Surface water data consists of open and vegetated surface water 2 week averages from 2017-2021. 

This dataset is associated with the following publication:
Vanderhoof, M., J. Christensen, L. Alexander, C. Lane, and H. Golden. Climate Change Will Impact Surface Water Extents and Dynamics Across the Central United States.   Earth�s Future. John Wiley & Sons, Inc., Hoboken, NJ, USA, 12(2): e2023EF004106, (2024).

Tags: climate-change, drought, floodplains, inundation, lakes, midwest, prarie-pothole-region, southeast, southwest, wetlands
Organization: U.S. Environmental Protection Agency
A U.S. Lead Exposure Hotspots Analysis

This is the dataset used for the U.S. lead exposure risk hotspot analysis in Zartarian et al., 2024, ES&T. The data dictionary files explain the contents of the 2 included zipped data folders. The Figures 1&2 zipped folder contains the data for Figures 1 and 2, the Supplement A figures, and the data for all tables in the paper. The Supplement B zipped folder contains the Random Forest modeling methodology in Supplement B and corresponding data. This folder also includes the full national dataset version of Random Forest model version 1 and 2 used in the analysis (in .csv format). 

This dataset is associated with the following publication:
Zartarian Morrison, V., J. Xue, A. Poulakos, R. Tornero-Velez, L. Stanek, E. Snyder, V. Helms Garrison, K. Egan, and J. Courtney. A U.S. Lead Exposure Hotspots Analysis.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 7(7): 3311-3321, (2024).

Tags: childrens-health, exposure-predictions, geospatial, hotspots, indicators-and-indices, lead, mapping, public-health
Organization: U.S. Environmental Protection Agency
Effects of multi-walled carbon nano tubes on human lung epithelial BEAS-2B cells

Dataset for 'Effects of multi-walled carbon nano tubes on human lung epithelial BEAS-2B cells' journal article by Sheau-Fung Thai, et al., to be published in Materials Express.

For the data set:
DEG: differentially expressed genes
33-MWCNT: parent MWCNT 
55-OH-MWCNT: MWCNT modified with -OH group
66-COOH-MWCNT: MWCNT modified with -COOH group. 

This dataset is associated with the following publication:
Thai, S., C. Jones, B. Robinette, G. Nelson, A. Tennant, H. Ren, B. Vallanat, A. Astriab Fisher, J. Ross, and K. Kitchin. Effects of multi-walled carbon nanotubes on message and Micro-RNA in human lung BEAS-2B cells.   Materials Express. American Scientific Publishers, VALENCIA, CA, USA, 14(2): 249-263, (2024).

Tags: microrna, multi-walled-carbon-nanotubes, signaling-pathways, target-filter-analysis
Organization: U.S. Environmental Protection Agency
Combination of computational new approach methodologies for enhancing evidence of biological pathway conservation across species

Supplementary data for "Peter Schumann, Claudia Rivetti, Jade Houghton, Bruno Campos, Geoff Hodges, Carlie LaLone, Combination of computational new approach methodologies for enhancing evidence of biological pathway conservation across species, Science of The Total Environment, Volume 912, 2024, 168573, ISSN 0048-9697, https://doi.org/10.1016/j.scitotenv.2023.168573.". 

This dataset is associated with the following publication:
Schumann, P., C. Rivetti, J. Houghton, B. Campos, G. Hodges, and C. LaLone. Combination of computational new approach methodologies for enhancing evidence of biological pathway conservation across species.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 912: 168573, (2024).

Tags: biological-pathways, ecotoxicology, genes-to-pathways, in-silico-methods, new-approach-methodologies, seqapass, species-conservation-analysis
Organization: U.S. Environmental Protection Agency
VIUS Public Use File Data

This is a recoded version of the 2021 VIUS Public Use file. 

The Original is found at https://www2.census.gov/programs-surveys/vius/datasets/2021/ and should be used as the most up to date version. This version will be updated as need be and was extracted 2/2/2024.

The main difference between the files is that the data dictionary has been incorporated into the database to minimize cross-checking.

Tags: vius
Organization: Department of Transportation
Lidar-derived elevation data for Haines, Southeast Alaska, collected October 2021 and October 2022

Lidar-derived elevation data for Haines, Southeast Alaska, collected October 2021 and October 2022, Raw Data File 2023-18, provides a classified point cloud, digital surface model (DSM), digital terrain model (DTM), and an intensity model of Haines, Southeast Alaska collected by aerial lidar during snow-free ground conditions. The survey provides snow-free surface elevations for assessing landslide hazards and, in two active slide areas, elevation changes between October 2021 and October 2022. Ground control data were collected November 1-3, 2021, and aerial lidar data were collected October 24-26, 2021 and October 2-4, 2022. The data were merged and processed using a suite of geospatial processing software. This data collection is released as a Raw Data File with an open end-user license. All files can be downloaded from the Alaska Division of Geological & Geophysical Surveys website (http://doi.org/10.14509/31034).

Tags: battery point, bear creek, chilkat, chilkat inlet, chilkat peak, chilkat peninsula, chilkat river, chilkoot inlet, chilkoot lake, dalasuga island, deshu isthmus, dggs, digital elevation model, digital surface model (dsm), digital terrain model, dok point, elevation, emergency preparedness, engineering, engineering geology, ferebee river, four winds mountain, geologic, geologic hazards, geological process, geology, geomorphology, geotechnical, glass point, haines, halutu peninsula, hazards, iron mountain, jenkins rock, johnson creek, kalhagu cove, kaskulu point, kelgaya point, klehini river, klukwan, klukwan dam, kohklux, landslide, landslide susceptibility, lehunua island, lehunua point, letnikof cove, lidar, lidar intensity image, lidar las file format, lily lake, lutak, lynn canal, mink creek, moose valley, mosquito lake, mount prinsep, mount ripinski, mud bay, muncaster creek, nahku portage, nataga creek, nukdik point, paradise cove, point cloud data, pyramid island, raster image, remote sensing, rosaunt creek, rustabach lake, seduction point, shakuseyi creek, shiyi bay, slope, slope instability, southeast alaska, surface, surficial, surficial geology, taiyasanka harbor, takhin river, takshanuk mountains, tanani beach, tanani village, tlegu beach, topography, tsirku river, tukgahgo mountain, vanderbilt point, yindastuki, zimovia point
Organization: State of Alaska
PacIOOS Nearshore Sensor 006: Pohnpei, FSM

The nearshore sensors are part of the Pacific Islands Ocean Observing System (PacIOOS) and are designed to measure a variety of ocean parameters at fixed points. nss_006 is located at the Kangaroo Court dock inside the lagoon near Kolonia on the north shore of Pohnpei in the Federated States of Micronesia (FSM). The sensor package is mounted to the dock at approximately 1 meter depth. For a limited time period between August 2011 and May 2014, the sensor package was relocated approximately 275 meters further down the coast to a floating dock at the Pohnpei Surf Club. PacIOOS nearshore sensors monitor coastal water conditions to help provide early indications of potentially polluted run-off from storm drainage, sewage spills, and soil erosion from land-based waterways such as streams and other outflows that lead directly into the ocean.

Tags: chemical meters/analyzers, chlorophyll, conductivity sensors, ctd, depth, earth science, federated states of micronesia, fluorometers, fsm, in situ ocean-based platforms, in situ/laboratory instruments, kolonia, latitude, longitude, mass_concentration_of_chlorophyll_in_sea_water, mass_concentration_of_chlorophyll_in_sea_water status_flag, micronesia, ocean, ocean chemistry, ocean optics, ocean platform/ocean stations, ocean pressure, ocean temperature, oceans, pacific islands ocean observing system, pacific ocean, pacioos, photon/optical detectors, pohnpei, pressure sensors, pressure/height meters, profilers/sounders, salinity, salinity/density, sea_water_practical_salinity, sea_water_practical_salinity status_flag, sea_water_pressure, sea_water_pressure status_flag, sea_water_temperature, sea_water_temperature status_flag, sea_water_turbidity, sea_water_turbidity status_flag, temperature sensors, temperature/humidity sensors, time, turbidity, turbidity meters, water pressure, water quality, water temperature, western pacific ocean
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
High-Throughput Transcriptomics of Water Extracts Detects Reductions in Biological Activity with Water Treatment Processes

Dataset for Rogers, et al., 'High-Throughput Transcriptomics of Water Extracts Detects Reductions in Biological Activity with Water Treatment Processes', published in Environmental Science & Technology, doi https://doi.org/10.1021/acs.est.3c07525. Contains 7 files 
HTTr analysis of water extracts_SI_v3: Supplemental information with detailed descriptions of cell culture, exposure to water extracts, cell viability assays, HTTr assay, and HTTr data processing, and Figures S1–S4 detailing cell viability results, HTTr quality control results, signature-level potency magnitude comparisons, and gene/signature activity of laboratory blanks (PDF)
Table S1: well-level cell viability metrics for water extracts (XLSX)
Table S2: treatment-level cell viability metrics for water extracts (XLSX)
Table S3: well-level HTTr quality control metrics for water extracts (XLSX)
Table S4: signature collection used for HTTr signature concentration–response modeling (XLSX)
Table S5: signature concentration-modeling profiling results for water extracts (XLSX)
Table S6: gene concentration-modeling profiling results for water extracts (XLSX). 

This dataset is associated with the following publication:
Rogers, J., F. Leusch, B. Chambers, K. Daniels, L. Everett, R. Judson, K. Maruya, A. Mehinto, P. Neale, K. Friedman, R. Thomas, S. Snyder, and J. Harrill. High-Throughput Transcriptomics of Water Extracts Detects Reductions in Biological Activity with Water Treatment Processes.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 58(4): 2027-2037, (2024).

Tags: differentially-expressed-genes, high-throughput-transcriptomics, mcf7, recycled-water, water-cycle, water-quality
Organization: U.S. Environmental Protection Agency
Development and application of a systematic and quantitative weighting framework to evaluate the quality and relevance of relative potency estimates for dioxin-like compounds (DLCs) for human health risk assessment

Supplementary data for "Wikoff D, Ring C, DeVito M, Walker N, Birnbaum L, Haws L. Development and application of a systematic and quantitative weighting framework to evaluate the quality and relevance of relative potency estimates for dioxin-like compounds (DLCs) for human health risk assessment. Regul Toxicol Pharmacol. 2023 Dec;145:105500. doi: 10.1016/j.yrtph.2023.105500. Epub 2023 Oct 21. PMID: 37866700.". 

This dataset is associated with the following publication:
Wikoff, D., C. Ring, M. Devito, N. Walker, L. Birnbaum, and L. Haws. Development and application of a systematic and quantitative weighting framework to evaluate the quality and relevance of relative potency estimates for dioxin-like compounds (DLCs) for human health risk assessment.   REGULATORY TOXICOLOGY AND PHARMACOLOGY. Elsevier Science Ltd, New York, NY, USA, 145: 105500, (2023).

Tags: bayesian, childrens-environmental-health, dioxins, environmental-justice, integration, pcbs, quality, relative-potency, reps, risk-assessment, tefs
Organization: U.S. Environmental Protection Agency
From Protein Sequence to Structure: The Next Frontier in Cross-Species Extrapolation for Chemical Safety Evaluations

Supplemental data for "LaLone CA, Blatz DJ, Jensen MA, Vliet SMF, Mayasich S, Mattingly KZ, Transue TR, Melendez W, Wilkinson A, Simmons CW, Ng C, Zhang C, Zhang Y. From Protein Sequence to Structure: The Next Frontier in Cross-Species Extrapolation for Chemical Safety Evaluations. Environ Toxicol Chem. 2023 Feb;42(2):463-474. doi: 10.1002/etc.5537. Epub 2023 Jan 16. PMID: 36524855.". 

This dataset is associated with the following publication:
Lalone, C., D. Blatz, M. Jensen, S. Vliet, S. Mayasich, K. Mattingly, T. Transue, W. Melendez, A. Wilkinson, C. Simmons, C. Ng, C. Zhang, and Y. Zhang. From Protein Sequence to Structure: The Next Frontier in Cross-Species Extrapolation for Chemical Safety Evaluations.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 42(2): 463-474, (2023).

Tags: bioinformatics, computational-toxicology, predictive-toxicology, protein-structure, seqapass, species-extrapolation
Organization: U.S. Environmental Protection Agency
Verification of in vivo estrogenic activity for four per- and polyfluoroalkyl substances (PFAS) identified as estrogen receptor agonists via new approach methodologies (v4)

The dataset includes data from six experiments in which adult male fathead minnows were exposed to five concentrations of a per- or polyfluorinated alkyl substance (PFAS) and a 17beta-estradiol positive control for 96 hours. Meta data on each fish exposed including treatment, replicate, sex, whole body wet weight, and gonad weights are included. Endpoints measured include nuptial tubercle scores, gonadosomatic index, and hepatic expression of four estrogen regulated mRNA transcripts:  vitellogenin, estrogen receptor alpha, apolipoprotein eb, and insulin-like growth factor 1. The data set also includes water quality data collected over the course of each exposure, and measured concentrations of the test chemicals in water and plasma. The PFAS tested include: Perfluorooctanoic acid; 1H,1H,8H,8H-Perfluorooctane-1,8-diol; 1H,1H,10H,10H-Perfluorodecane-1,10-diol; 1H,1H,8H,8H-Perfluoro-3,6-dioxaoctane-1,8-diol; and Perfluoro-2-methyl-3-oxahexanoic acid. 

This dataset is associated with the following publication:
Villeneuve, D., B. Blackwell, J. Cavallin, J. Collins, J. Hoang, R. Hofer, K. Houck, K. Jensen, M. Kahl, R. Kutsi, A. Opseth, K. Santana Rodriguez, C. Schaupp, E. Stacy, and G. Ankley. Verification of In Vivo Estrogenic Activity for Four Per- and Polyfluoroalkyl Substances (PFAS) Identified as Estrogen Receptor Agonists via New Approach Methodologies.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 57(9): 3794-3803, (2023).

Tags: adverse-outcome-pathways-aops, ecological-risk, endocrine, high-throughput, pfas
Organization: U.S. Environmental Protection Agency