AndreaBozzo/ceres-open-data-index huggingface dataset:
College Affordability and Transparency List Explanation Form, 2015-16

College Affordability and Transparency List Explanation Form 2015-16 (CATEF 2015-16) is a cross-sectional data collection that collects information on the major areas of institutions' budgets with the greatest cost increases, the explanations for these increases, and the steps institutions have been or will be taking towards reducing these costs. The data collection is conducted on the subset of institutions that appear on the tuition and fees and/or net price increase lists for being in the five percent of institutions in their institutional sector that have the highest increases, expressed as a percentage change, over the three-year time period. This data collection is mandatory and expects a 100 percent response rate. Key statistics produced from CATEF 2015-16 are a description of the major areas in the institution's budget with the greatest cost increases; an explanation of the cost increases; a description of the steps the institution will take toward the goal of reducing costs in the areas described; an explanation of the extent to which the institution participates in determining such cost increase; the identification of the agency or instrumentality of state government responsible for determining such cost increase; and any other information the institution considers relevant to the report.

Tags: c1e7a143-9bfc-4eeb-8df8-720605a12e1a, college-affordability, cost-of-attendance, net-prices, postsecondary-institutions, transparency-of-information, tuition-and-fees
Organization: Department of Education
Supporting modeling components

This journal paper summarizes a Bayesian Network modeling approach for integrating climate change factors into ecological risk assessment. The BN modeling was not EPA generated. It was rather developed as a part of a special series generated under a SETAC Pellston Workgroup that was charged with developing strategies and approaches for considering climate change in ecological and chemical risk assessment.  Supporting BN modeling inputs and components are included as supplemental information with the published manuscript. EPA scientists (John Carriger, Pamela Noyes) participated on the Pellston workgroup. Pamela Noyes was a coauthor and John Carriger reviewed and provided technical guidance on the paper and modeling. 

This dataset is associated with the following publication:
Mentzel, S., R. Nathan, P. Noyes, K.V. Brix, S.J. Moe, J.R. Rohr, J. Verheyen, P.J. Van den Brink, and J. Stauber. Evaluating the effects of climate change and chemical, physical, and biological stressors on nearshore coral reefs: A case study in the Great Barrier Reef, Australia.   Integrated Environmental Assessment and Management. Allen Press, Inc., Lawrence, KS, USA, 20(2): 401-418, (2024).

Tags: climate-change, cumulative-risk-assessment, ecological-risk-assessment
Organization: U.S. Environmental Protection Agency
Data Links for Monitoring Chemical Contaminants in the Gulf of Maine, using Sediments and Mussels: an evaluation

The monitoring programs used to determine if sediments and mussels can be used interchangeably to assess environmental condition were: Mussel Watch (MW, National Status and Trends (NS&T), NOAA), Gulfwatch (GW, Gulf of Maine Council), National Coastal Assessment (NCA, US EPA), National Coastal Condition Assessment (NCCA, US EPA), and newly available sediment data from the EcoSystem Indicator Partnership (ESIP). Mussel Watch, Gulfwatch, NCA and NCCA are high profile, long-term, well organized national and regional mussel and/ or sediment monitoring programs. Sediment contaminant data generated by Eastern Charlotte Waterways (ECW) Inc, from funding by the Gulf of Maine Council on the Marine Environment’s EcoSystem Indicator Partnership, were used for sites in the Canadian portion of the GOM; sediments were collected by ECW and analyzed by RPC (http://www.rpc.ca/english/index.html). All the data source programs have quality assurance measures (details can be found at the URLs listed below).

NOAA’s NS&T Mussel Watch (NOAA MW)
https://en.wikipedia.org/wiki/Mussel_Watch_Program
https://products.coastalscience.noaa.gov/nsandt_data/data.aspx

Gulf of Maine Council’s Gulfwatch (GOMC GW) 
http://www.gulfofmaine.org/2/gulfwatch-homepage/
https://gulfofmaine.org/public/gulfwatch-contaminants-monitoring/data-reports/ 
The Canadian portion of Gulfwatch also has published QA documentation (Sowles et al., 1997).

EPA’s National Coastal Assessment (EPA NCA) & National Coastal Condition Assessment (NCCA)
https://archive.epa.gov/emap/archive-emap/web/html/about.html
https://www.epa.gov/national-aquatic-resource-surveys/ncca
https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-
surveys

EcoSystem Indictor Partnership (ESiP)
http://www.gulfofmaine.org/2/esip-homepage/ 
Eastern Charlotte Waterways Inc. (D. Killorn, pers comm). Sediments were collected by ECW and analyzed through a subcontract to RPC. Data with accompanying QA data were obtained from Donald Killorn, ECW (pers comm). 

This dataset is associated with the following publication:
Elskus, A., L. LeBlanc, J. Latimer, D. Page, G. Harding, and P. Wells. Monitoring chemical contaminants in the Gulf of Maine, using sediments and mussels (Mytilus edulis): An evaluation.   MARINE POLLUTION BULLETIN. Elsevier Science Ltd, New York, NY, USA, 153: 110956, (2020).

Tags: contaminants, estuary, gulf-of-maine, monitoring
Organization: U.S. Environmental Protection Agency
SDR StRAP 3 interviews

Interview data from EPA researchers and partners involved with solutions-driven research pilots on nutrient management and wildland fire smoke. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Restricted access may be granted to authorized persons by contacting the party listed. Format: Confidential interview data contains identifiable information of interviewees, including identifiable experiences at or with EPA, position with EPA, and role within the projects studied. 

This dataset is associated with the following publication:
Canfield, K.N., B. Hubbell, L. Rivers, B. Rodan, B. Hassett-Sipple, A. Rea, T. Gleason, A. Holder, C. Berg, C.D. Chatelain, S. Coefield, B. Schmidt, and B. McCaughey. Lessons learned and recommendations in conducting solutions-driven environmental and public health research.   JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 354(March 2024): 120270, (2024).

Tags: nitrogen-and-co-pollutants, smoke, social-science, solutions-based-research, solutions-driven-research, translational-research, wildland-fire
Organization: U.S. Environmental Protection Agency
Birnessite films are sensitive indicators of microbial manganese reduction in soil

Development of rapid and inexpensive assessment tools to evaluate the integrity of wetlands soils is important to managers and natural resource stewards. In this study researchers developed an effective, rapid, and low cost tool to assess the degree of oxygenation in wetland soils. Strips of white plastic were painted with the brown-colored birnessite, which indicates low oxidizing conditions in the soil when the brown color disappears from the strip. Use of these strips may assist in monitoring wetlands and prioritizing wetland areas for restoration efforts. This dataset is not publicly accessible because: EPA does not own the data. It can be accessed through the following means: Contact article's corresponding author. Format: Supplemental Figure S1. Curated spreadsheet containing raw and processed data from Mn indicator of reduction in soils (IRIS) film paint removal quantification and sand weighing data.
Supplemental Figure S2. Two-way ANOVA analyses of Mn indicator of reduction in soils (IRIS) film paint removal data. 

This dataset is associated with the following publication:
Hino, K.C., J. Romero, J.L. Loffredo, M. Stolt, J. Amador, S. Moseman-Valtierra, C. Wigand, and B. Pellock. Birnessite films are sensitive indicators of microbial manganese reduction in soil.   SOIL SCIENCE SOCIETY OF AMERICA JOURNAL. Soil Science Society of America, Madison, WI, USA, 87(1): 196-201, (2023).

Tags: bioremediation, wetland, wetland-integrity, wetland-soil
Organization: U.S. Environmental Protection Agency
Non-EPA data for "Runnels mitigate marsh drowning in microtidal salt marshes"

We report on 5 years of vegetation and hydrologic monitoring of two locations where a total of 600-m of shallow (0.15–0.30-m in diameter and depth) runnels were installed in 2015 and 2016 to enhance drainage, in the Pettaquamscutt River Estuary, in southern Rhode Island, United States. Results from this Before-After Control-Impact (BACI) designed study found that runnel installation successfully promoted plant recolonization, although runnels did not consistently promote increases in high marsh species presence or diversity. This dataset is not publicly accessible because: EPA is not the owner of this data. It can be accessed through the following means: All data is available as Supplementary Material in journal article. Inquiries can be directed to the corresponding author. Format: All data is available as Supplementary Material in journal article. Inquiries can be directed to the corresponding author. 

This dataset is associated with the following publication:
Watson, E., W. Ferguson, L. Champlin, J. White, N. Ernst, H. Sylla, B. Wilburn, and C. Wigand. Runnels mitigate marsh drowning in microtidal salt marshes.   Frontiers in Environmental Science. Frontiers, Lausanne,  SWITZERLAND, 10: 987246, (2022).

Tags: climate-adaptation, climate-change, restoration, salt-marsh, sea-level-rise
Organization: U.S. Environmental Protection Agency
Society for Women in Marine Science survey data

This project looks specifically at gender diversity within marine sciences, and the experiences of women and gender-diverse people in the field. Based on survey data collected from participants in symposia hosted by the Society for Women in Marine Science, we identify shared challenges, training opportunities, and logistic improvements to create more inclusive symposia in the future. Intersectional considerations of the multiple identities researchers possess are an important focus for diversifying marine science and fostering belonging. This dataset is not publicly accessible because: Data are owned by the Society for Women in Marine Science. It can be accessed through the following means: Data will be made available on request. Format: Survey data conducted by the Society for Women in Marine Science as part of their annual symposium 2018-2020. 

This dataset is associated with the following publication:
Canfield, K., A. Sterling, C. Hernandez, S. Chu, B. Edwards, D. Fontaine, J. Freese, M. Giroux, A. Jones, A. McCarty, H. Morrissette, H. Palevsky, C. Raker, A. Robuck, G. Serrato Marks, P. Thibodeau, and A. Windle. Building an inclusive wave in marine science: Sense of belonging and Society for Women in Marine Science symposia.   Progress in Oceanography. Elsevier B.V., Amsterdam,  NETHERLANDS, 218: 103110, (2023).

Tags: marine-science, public-engagement-with-science, social-science, women-in-science
Organization: U.S. Environmental Protection Agency
Data for: Integrated multi-trophic aquaculture with sugar kelp and oysters in a shallow coastal salt pond and open estuary site

The data set includes environmental data as well as kelp and oyster data from an integrated multi-trophic aquaculture study where sugar kelp was planted on four established oyster farms in Rhode Island, USA over 2 growing seasons (Year 1 = 2017–2018; Year 2 = 2018-2019). At each site, we planted 60 m kelp lines (denoted as Line 1 and Line 2) approximately three weeks apart to determine optimal planting time. Kelp blade length and width were recorded at periodic intervals, and tissues were collected for carbon, nitrogen, δ15N, and δ13C analyses. Oyster growth data was collected from the same sites across the same timespans. Environmental data includes data collected on monthly farm visits with a YSI Sonde, as well as dissolved nutrients in the seawater. In addition, temperatures were logged on kelp lines every 15 minutes during each growing season. 

This dataset is associated with the following publication:
Green-Gavrielidis, L., C. Thornber, and A. Oczkowski. Integrated multi-trophic aquaculture with sugar kelp and oysters in a shallow coastal salt pond and open estuary site.   Frontiers in Aquaculture. Frontiers, Lausanne,  SWITZERLAND, 2: 1147524, (2023).

Tags: aquaculture, kelp, nitrogen, oyster
Organization: U.S. Environmental Protection Agency
Data for: Tidal Flushing Rather Than Non-Point Source Nitrogen Pollution Drives Nutrient Dynamics in A Putatively Eutrophic Estuary

These are the data associated with the manuscript "https://www.mdpi.com/2073-4441/15/1/15." They are available under "Supplementary Materials" on the left side of the webpage, under the Table of Contents. 

This dataset is associated with the following publication:
Krause, J.R., M.E. Gannon, A.J. Oczkowski, M.J. Schwartz, L.K. Champlin, D. Steinmann, M. Maxwell-Doyle, E. Pirl, V. Allen, and E.B. Watson. Tidal Flushing Rather Than Non-Point Source Nitrogen Pollution Drives Nutrient Dynamics in A Putatively Eutrophic Estuary.   WATER. MDPI, Basel,  SWITZERLAND, 15(1): 15, (2023).

Tags: barnegat-bay, estuary, nitrogen, nitrogen-and-co-pollutants, stable-isotope
Organization: U.S. Environmental Protection Agency
U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2022)

This dataset, compiled by NREL using data from ABB, the Velocity Suite (http://energymarketintel.com/) and the U.S. Energy Information Administration dataset 861 (http://www.eia.gov/electricity/data/eia861/), provides average residential, commercial and industrial electricity rates with likely zip codes for both investor owned utilities (IOU) and non-investor owned utilities. Note: the files include average rates for each utility (not average rates per zip code), but not the detailed rate structure data found in the OpenEI U.S. Utility Rate Database (https://openei.org/apps/USURDB/).

Tags: electric-rates, rate-lookup, rates, us-utilities, utility-companies, utility-rates, zip-code, zipcode
Organization: Department of Energy
Street Sweeping Zones - 2024

Street sweeping zones by Ward and Ward Section Number. For the corresponding schedule, see https://data.cityofchicago.org/d/3q8d-2t69.

For more information about the City's Street Sweeping program, go to https://www.chicago.gov/city/en/depts/streets/provdrs/streets_san/svcs/street_sweeping.html.

​​​​​This dataset is in a forma​​t for spatial datasets that is inherently tabular but allows for a map as a derived view. Please click the indicated link below for such a map.

To export the data in either tabular or geographic format, please use the Export button on this dataset.

Tags: 2024, boundaries, geo_layer, parking-restrictions, schedule, street-cleaning
Organization: City of Chicago
Maryland Real Property Assessments: Fields Reference

This dataset is a supplement to the statewide dataset of Real Property Assessments, at https://opendata.maryland.gov/d/ed4q-f8tm, which shows all properties in the state and assessment data from SDAT and MDP.

Tags: assessments, business, economy, house, housing, maryland-department-of-planning, mdp, properties, property, property-tax, real-estate, real-property, sdat, state-department-of-assessments-and-taxation, tax, value
Organization: State of Maryland
Part D – Enterprise Zone Businesses - Authorized for Future Exemption(s) on Qualified Property, 2023

This report includes data from Enterprise Zone Business Projects - with exemptions on qualified property. This is Part D of a four (4) part report. A data dictionary and additional notes document are attached as resources; column header numbers can be located in the notes document for additional information.

For more information, visit Business Oregon https://www.oregon.gov/biz/programs/enterprisezones

Tags: assessor-reports, county, enterprise-zone-exemptions, enterprise-zones, exemptions, exemptions-on-qualfied-property, ez, fiscal-year-2023, investment
Organization: State of Oregon
Providence Home Directories 1895-1935

The Providence City Archives is pleased to announce the completion of a project to scan the Providence House Directories.

These directories were published between 1895 and 1935 and are an invaluable resource for those conducting house research, neighborhood demographic change, and occupancy patterns. Basic entries in the more than 20,000 pages of information are organized by street (unlike the city directories). 

Individual name listings for each address in many cases indicate occupation and whether the resident is a boarder or owner of the property. Additional directory sections include information on parks, businesses, churches, clubs, theaters, cemeteries, places of amusement and basic census data. 
The scanned listings allow for key word searches.

Tags: archives, historic, housing, neighborhood, property, real-estate
Organization: City of Providence
3.06 Quality Pre-K Designation (dashboard)

This operations dashboard shows historic and current data related to this performance measure.<div><br /></div><div><p style='margin:0in 0in 0.0001pt;'>The performance measure dashboard is available at <a href='https://quality-of-life-tempegov.hub.arcgis.com/pages/quality-pre-k-designation' target='_blank' rel='nofollow ugc noopener noreferrer'>3.06 Quality Pre-K Designation</a>.</p><p style='margin:0in 0in 0.0001pt;'> </p><p style='margin:0in 0in 0.0001pt;'><a href='https://gis.tempe.gov/design/data-dictionary/3.06%20Pre%20K%20Enrollments%20by%20Quality%20Rating%20(summary)/' target='_blank' rel='nofollow ugc noopener noreferrer'>Data Dictionary</a><br /></p></div>

Tags: kindergarten, quality-of-life, quality-pre-k-designation-pm-3-06
Organization: City of Tempe
3.19 Value of Special Events  (dashboard)

This operations dashboard shows historic and current data related to this performance measure.<div><br /></div><div><p style='margin: 0in 0in 0.0001pt;'>The performance measure dashboard is available at <a href='https://quality-of-life-tempegov.hub.arcgis.com/pages/value-of-special-events' target='_blank' rel='nofollow ugc noopener noreferrer'>3.19 Value of Special Events</a>.</p><p style='margin: 0in 0in 0.0001pt;'> </p><p style='margin: 0in 0in 0.0001pt;'><a href='https://gis.tempe.gov/design/data-dictionary/3.19%20Value%20of%20Special%20Events%20(summary)/' style='' target='_blank' rel='nofollow ugc noopener noreferrer'>Data Dictionary</a><br /></p></div>

Tags: benefits, events, quality-of-life, special, tempe, value-of-special-events-pm-3-19
Organization: City of Tempe
Suspect Screening Analysis of Pooled Human Serum Samples Using GC × GC/TOF-MS

Supporting information for "Phillips KA, Chao A, Church RL, Favela K, Garantziotis S, Isaacs KK, Meyer B, Rice A, Sayre R, Wetmore BA, Yau A, Wambaugh JF. Suspect Screening Analysis of Pooled Human Serum Samples Using GC × GC/TOF-MS. Environ Sci Technol. 2024 Jan 30;58(4):1802-1812. doi: 10.1021/acs.est.3c05092. Epub 2024 Jan 13. PMID: 38217501.". 

This dataset is associated with the following publication:
Phillips, K., A. Chao, R. Church, K. Favela, S. Garantziotis, K. Isaacs, B. Meyer, A. Rice, R. Sayre, B. Wetmore, A. Yau, and J. Wambaugh. Suspect Screening Analysis of Pooled Human Serum Samples Using GC × GC/TOF-MS.   ACS ES&T Engineering. American Chemical Society, Washington, DC, USA, 58(4): 1802-1812, (2024).

Tags: biomonitoring, chemical-risk, exposure-forensics, gas-chromatography, suspect-screening-analysis
Organization: U.S. Environmental Protection Agency
Data and Supporting Information for "Sublethal toxicity of 17 PFASs with diverse structures to Ceriodaphnia dubia, Hyalella azteca, and Chironomus dilutus", manuscript submitted to Environmental Toxicology and Chemistry July 7., 2023

Data and supporting information for "Sublethal toxicity of 17 PFASs with diverse structures to Ceriodaphnia dubia, Hyalella azteca, and Chironomus dilutus", manuscript submitted to Environmental Toxicology and Chemistry, July 7, 2023. 

This dataset is associated with the following publication:
Kadlec, S., W. Backe, R. Erickson, J.R. Hockett, S. Howe, I. Mundy, E. Piasecki, H. Sluka, L. Votava, and D. Mount. Sublethal Toxicity of 17 Per- and Polyfluoroalkyl Substances with Diverse Structures to Ceriodaphnia dubia, Hyalella azteca, and Chironomus dilutus.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 43(2): 359-373, (2024).

Tags: aquatic-invertebrates, pfas, pfoa, pfos, sublethal-toxicity
Organization: U.S. Environmental Protection Agency
Screening for drinking water contaminants of concern using an automated exposure-focused workflow

Supplementary information and tables for "Isaacs, K.K., Wall, J.T., Paul Friedman, K. et al. Screening for drinking water contaminants of concern using an automated exposure-focused workflow. J Expo Sci Environ Epidemiol (2023). https://doi.org/10.1038/s41370-023-00552-y". 

This dataset is associated with the following publication:
Isaacs, K., T. Wall, K. Paul-Friedman, J. Franzosa, H. Goeden, A. Williams, K. Dionisio, J. Lambert, M. Linnenbrink, A. Singh, J. Wambaugh, A. Bogdan, and C. Greene. Screening for drinking water contaminants of concern using an automated exposure-focused workflow.   Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London,  UK, 34: 136-147, (2024).

Tags: emerging-contaminants, environmental-monitoring, exposure-modeling, new-approach-methodologies
Organization: U.S. Environmental Protection Agency
Changes in forest tree species composition for 2010-2100

This data is from Clark et al. (2023), "Future climate change effects on US forest composition may offset benefits of reduced atmospheric deposition of N and S." (https://onlinelibrary.wiley.com/doi/10.1111/gcb.16817). The dataset provides the decadal data (2010, 2020, etc., to 2100), for estimates of biomass and stem count, for each county (FIPS) in the lower 48 states, for the 94 tree species analyzed in Horn et al. (2018), separately for the 20 climate and atmospheric deposition scenarios examined in the Clark et al. manuscript. Summary tables and key supporting information are also provided. The data are too large to upload to Science Hub (>10 GB) and are instead available on the DataDryad here: https://datadryad.org/stash/dataset/doi:10.5061/dryad.tht76hf4f. 

This dataset is associated with the following publication:
Clark, C., J. Phelan, J. Ash, J. Buckley, J. Cajka, K. Horn, R.Q. Thomas, and R.D. Sabo. Future climate change effects on U.S. forest composition may offset benefits of reduced atmospheric deposition of N and S.   GLOBAL CHANGE BIOLOGY. Blackwell Publishing, Malden, MA, USA, 29(17): 4793-4810, (2023).

Tags: atmospheric-deposition, biodiversity, climate-change, critical-loads, forest-composition, nitrogen-and-co-pollutants
Organization: U.S. Environmental Protection Agency
Coastal Generalized Ecosystem Model (CGEM) 1.0: A Complex Biogeochemical Model for Simulating Lower Trophic Levels and Ecosystem Dynamics

These data describe CGEM functional form output for optional model formulations. These data also include post-processed simulation outputs applied to develop figures in the manuscript.

Tags: climate-change, modeling, nitrogen-and-co-pollutants, water-quality
Organization: U.S. Environmental Protection Agency