AndreaBozzo/ceres-open-data-index huggingface dataset:
1.18 Kid Zone Participation Citywide (summary)

<p>The Kid Zone Enrichment Program provides a safe and enriching place for students to be during out-of-school time. This dataset provides the percentage of students annually who are currently enrolled in after-school community programs. The data represent enrollment percentages for the city as a whole.</p><p>Values of 9999 are used when data was unavailable.&nbsp;</p><p>This page provides data for the Kid Zone Participation performance measure.&nbsp;</p><p>These data are calculated from the participation by site dataset.</p><p>&nbsp;</p><p>The performance measure dashboard is available at&nbsp;<a target='_blank' href='https://safe-and-secure-communities-tempegov.hub.arcgis.com/pages/kid-zone-participation' rel='nofollow ugc noopener noreferrer'>1.18 Kid Zone Participation</a></p><p><strong>Additional Information</strong></p><p>Source: SQL Server</p><p>Contact: Jeremy King</p><p>Contact E-Mail: jeremy_king@tempe.gov</p><p>Data Source Type: SQL Server</p><p>Preparation Method: Extracted to Excel and combined with data given by the Tempe and Kyrene School districts (school enrollment, Free and Reduced Lunch Percentages). These data are generated from from SQL counts the participants by site with an enrollment end date greater or equal to the report date.</p><p>Publish Frequency: Annually</p><p>Publish Method: Manual</p><p><a target='_blank' href='https://tempe.gitbook.io/data-dictionary/1.18-kid-zone-participation-citywide' rel='nofollow ugc noopener noreferrer'>Data Dictionary</a><br />&nbsp;</p>

Tags: safe-and-secure-communities
Organization: City of Tempe
1.18 Kid Zone Participation by Site (detail)

<p>The Kid Zone Enrichment Program provides a safe and enriching place for students to be in out-of-school time. This dataset provides the percentage of students who are currently enrolled in after school community programs. Data are broken down by school, including school and Kid Zone enrollment.</p><p>This page provides data for the Kid Zone Participation performance measure.&nbsp;</p><p>These data are the source of the summary values for Performance Measure 1.18</p><p>The performance measure dashboard is available at&nbsp;<a target='_blank' href='https://safe-and-secure-communities-tempegov.hub.arcgis.com/pages/kid-zone-participation' rel='nofollow ugc noopener noreferrer'>1.18 Kid Zone Participation</a></p><p><strong>Additional Information</strong></p><p>Source: SQL Server</p><p>Contact: Jeremy King</p><p>Contact E-Mail: jeremy_king@tempe.gov</p><p>Data Source Type: SQL Server</p><p>Preparation Method: Extracted to Excel and combined with data given by the Tempe and Kyrene School districts (school enrollment, Free and Reduced Lunch Percentages). These data are generated from from SQL counts the participants by site with an enrollment end date greater or equal to the report date.</p><p>Publish Frequency: Annually</p><p>Publish Method: Manual</p><p><a target='_blank' href='https://tempe.gitbook.io/data-dictionary/1.18-kid-zone-participation-by-site' rel='nofollow ugc noopener noreferrer'>Data Dictionary</a><br />&nbsp;</p>

Tags: safe-and-secure-communities
Organization: City of Tempe
Police Transparency - Calls for Service - Historic View (Dashboard)

<p>This dashboard provides an interactive view of police calls for service in Tempe, covering multiple years through the most recent complete month of available data.</p><p>The dashboard includes filters and four main pages:</p><ul><li><strong>Overview:</strong> calls by month, year, category, and subcategory</li><li><strong>Time Insights:</strong> calls by day of week and hour of day</li><li><strong>Trend Analysis:</strong> month-over-month and year-over-year changes</li><li><strong>Category Focus:</strong> percent of calls by police beat and ZIP code, with category and subcategory detail</li></ul><p>The dashboard is designed to help the community explore patterns in call activity over time and by location. It works best on a desktop computer or full-size monitor.</p><p>This dashboard is featured on the&nbsp;<a target='_blank' href='https://policedata.tempe.gov/pages/calls-for-service' rel='nofollow ugc noopener noreferrer'>Tempe Police Data Hub</a>&nbsp;and update regularly to reflect the latest call activity.</p><p><span style='font-size:inherit;'><span>For detailed guidance, please refer to the </span></span><a target='_blank' href='https://tempe.gitbook.io/data-user-guide/calls-for-service-hub-page' rel='nofollow ugc noopener noreferrer'><span>User Guide: </span>Calls For Service Hub Page</a><span style='font-size:inherit;'><span>.</span></span></p>

Tags: calls-for-service, police
Organization: City of Tempe
Vessel Permit System Data Set

GARFO issues federal fishing permits annually to owners of fishing vessels who fish in the Greater Atlantic region, as required by federal regulation.  These permits are required to be renewed annually.  Intra-year applications are required if the vessel owner adds or drops permitted fisheries, changes the vessel's name or ownership.  The dataset includes information on vessels, owners, permitted fisheries, and gear types.  This dataset describes the back-end tables that store the VPS data.  It tracks a vessel's permit status, including when a permit has been cancelled due to CPH (confirmation of permit history) issuance.

Tags: cph, doc/noaa/nmfs/garfo, greater atlantic regional fisheries office, national marine fisheries service, noaa, permit cancelation, u.s. department of commerce, vessel permit system, vessel permit tracking, vps
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Sector Information Data Set

Fishing sectors were established in the Greater Atlantic region in 2010 under catch share management initiatives.  Sector data kept at GARFO is mostly a collection of other fishing trip related datasets consolidated into a secure (password protected) web data portal used by sector managers.  These  datasets would include various trip reports, trip start and end hails, vms declarations, observer reports, etc.  The data portal is called SIMM (Sector Information Management Module).  There is one component of the data that is not derivative, and that is the sector comparison reports, which help a sector to compare data that they have submitted with data that GARFO has collected.

Tags: doc/noaa/nmfs/garfo, greater atlantic regional fisheries office, national marine fisheries service, noaa, sector data, sector information, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
MTA 2025-2044 20-Year Needs Assessment Asset Conditions

The 2025-2044 20-Year Needs Assessment is a broad, comprehensive blueprint that outlines the MTA region's transportation capital needs for the next generation. It provides an extensive, long-term view based upon rigorous data analysis across all the MTA agencies. The MTA developed a three-part plan to for the next 20 years to achieve the transit network New Yorkers deserve. It is based on three fundamental ideas: rebuild the foundation of the system to ensure its survival, improve our network to meet 21st century needs, and expand to support future growth. This dataset includes data on the conditions of most assets in the MTA system.

Tags: asset-conditions, bridges-tunnels, bt, bus, capital-plan, capital-program, lirr, long-island-rail-road, metro-north, metro-north-railroad, mnr, mta-bridges-tunnels, mta-bus, mta-pd, mta-police, mta-police-department, mtabc, needs-assessment, new-york-city-transit, nyct, sir, staten-island-railway, subway
Organization: State of New York
Empire State Child Credit Study by Filing Status: Beginning 2017

The Department of Taxation and Finance annually publishes statistical information on the New York State empire state child credit (ESCC).  The data used to generate this report come from an annual study file based on the latest available data drawn from New York State personal income tax returns.  The tables in this report summarize tax credit activity by filing status and place of residence.  The totals in the summary tables may not match the detail tables due to rounding and disclosure requirements.

Tags: article-22, credits, personal-income-tax-credits, tf-personal-income-tax
Organization: State of New York
Empire State Child Credit Study by Place of Residence: Beginning 2017

The Department of Taxation and Finance annually publishes statistical information on the New York State empire state child credit (ESCC).  The data used to generate this report come from an annual study file based on the latest available data drawn from New York State personal income tax returns.  The tables in this report summarize tax credit activity by filing status and place of residence.  The totals in the summary tables may not match the detail tables due to rounding and disclosure requirements.

Tags: article-22, credits, personal-income-tax-credits, tf-personal-income-tax
Organization: State of New York
Sample 2026 Iowa Individual ACA Premiums Explorer

This explorer provides sample premium information for individual ACA-compliant health insurance plans available to Iowans for 2026 based on age, rating area and metal level. These are premiums for individuals, not families.  Please note that not every plan ID is available in every county. On or after November 1, 2025, please go to www.healthcare.gov to determine if your plan is available in the county you reside in.

Tags: aca, affordable-care-act, centers-for-medicare-and-medicaid-services, cms, exchange, health-insurance, healthcare-gov, marketplace
Organization: State of Iowa
Sample 2026 Iowa Individual Affordable Care Act Premiums

This dataset provides sample premium information for individual ACA-compliant health insurance plans available to Iowans for 2026 based on age, rating area and metal level. These are premiums for individuals, not families.

Explore and drill into the data using the <a href="/stories/s/7rtq-dygq/" target="_blank" rel="nofollow external">2026 Sample Premium Explorer</a>. <br><br>Please note that not every plan ID is available in every county. On or after November 1, 2025, please go to <a href="https://www.healthcare.gov/" target="_blank" rel="nofollow external">www.healthcare.gov</a> to determine if your plan is available in the county you reside in.

Tags: aca, affordable-care-act, centers-for-medicare-and-medicaid-services, cms, exchange, health-insurance, healthcare-gov, marketplace
Organization: State of Iowa
Data set used for Patterns in physical structure of coral reefs in Florida, USA

This file contains coral reef physical structure summary data collected from 6,016 10m2 stations in the Florida Reef Tract during 2005-2020 that was put together and modified for analysis by William S. Fisher. Data were taken from the Florida Fish and Wildlife Conservation Commission Disturbance Response Monitoring (DRM) Program. A worksheet tab called "File information" contains a description and explanation of the data. 

This dataset is associated with the following publication:
Fisher, W.S., and J.F. Carriger. Patterns in physical structure of coral communities in Florida, USA.   CORAL REEFS. Springer, New York, NY, USA, 44: 1495-1512, (2025).

Tags: bayesian-networks, coral-demographics, coral-reef-structure, data-clustering, florida-reef-tract
Organization: U.S. Environmental Protection Agency
Seismic Survey 2016 Data at San Emidio Nevada

Included here are seismic data recorded at the San Emidio Geothermal field in Nevada. This passive seismic data were collected as part of the DOE-funded Subsurface Technology and Engineering R&D (SubTER) project to advance imaging and characterization of geothermal permeability.  In December 2016, 1301 vertical-component seismic instruments were deployed at the San Emidio Geothermal field in Nevada.  Data collection spanned a 160 hour timeframe, beginning on December 5th and ending on December 11th. Data are stored as individual files in one-minute increments in SEGD and MSEED formats and are downloadable as a zipped directory or available in a cloud-accessible format.  Comprehensive metadata and project summaries are included in GDR submission 1386 (linked below as "2016 Seismic Survey Metadata at San Emidio").

Tags: characterization, data, energy, geophysics, geothermal, hole, hydrologic, hydrothermal, mechanical, metadata, miniseed, modeling, mseed, nevada, observation, passive-seismic, physics, san-emidio, segd, seismic, seismicity, spatial, stress, survey, system, temporal, thermal, water, wholescale
Organization: Department of Energy
CalWave Open Water Demo - FMEA Update Budget Period 2

The Failure Modes and Effects Analysis (FMEA) is a qualitative reliability technique for systematically analyzing each possible failure mode within a hardware system, and identifying the resulting effect on that system, the mission, and the personnel. This submission includes an updated FMEA summary for CalWave's open water demonstration including pre- and post-mitigation results, hazard identification (HAZID) analysis, and component/function rooted FMEA.

Tags: calwave, demo, energy, fmea, hydrokinetic, marine, mhk, open-water, power, risk, risk-management, rpn, scaled, wave-energy, wec, xwave
Organization: Department of Energy
2023 Child and Adult Health Care Quality Measures Quality

Performance rates on frequently reported health care quality measures in the CMS Medicaid/CHIP Child and Adult Core Sets, for FFY 2023 reporting.

Source: Mathematica analysis of MACPro and Form CMS-416 reports for the FFY 2023 reporting cycle. Dataset revised September 2024. For more information, see the Children's Health Care Quality Measures and Adult Health Care Quality Measures webpages.

Tags: core-sets, performance-rates, quality-measures
Organization: U.S. Department of Health & Human Services
Datasets for manuscript "Integrating data engineering and process systems engineering for end-of-life chemical flow analysis"

The Github Repository, https://github.com/jodhernandezbe/TRI4PLADS/tree/v1.0.0,, is publicly available and referenced in supplementary information. This GitHub repository describes the computational framework overview, software requirements, model use, model output, and disclaimer.
This repository presents a multi-scale framework that combines data engineering with process systems engineering (PSE) to enhance the precision of chemical flow analysis (CFA) at the end-of-life (EoL) stage. The focus is on chemicals used in plastic manufacturing, tracing their flows through the supply chain and EoL pathways. Additionally, this study examines potential discharges from material recovery facilities to publicly owned treatment works (POTW) facilities, recognizing their relevance to human and environmental health. Tracking these discharges is critical, as industrial EoL material transfers to POTWs can interfere with biological treatment processes, leading to unintended environmental chemical releases. By integrating data-driven methodologies with mechanistic modeling, this framework supports the identification, quantification, and regulatory assessment of chemical discharges, providing a science-based foundation for industrial and policy decision-making in sustainable material and water management.
The attached file CoU - Metadata File.xlsx contains the datasets to build Figure 3 and describe a qualitative flow diagram of methyl methacrylate from manufacturing to potential consumer products generated from the Chemical Conditions of Use Locator methodology (https://doi.org/10.1111/jiec.13626). 
The attached file "MMA POTW Dataset.xlsx" contains the datasets needed to run the Chemical Tracker and Exposure Assessor in Publicly Owned Treatment Works Model (ChemTEAPOTW) as described in the Github Repository https://github.com/gruizmer/ChemTEAPOTW. 
The attached file "Plastic Data-Calculations-Assumptions.docx" contains all calculations and assumption to estimate the methyl methacrylate (MMA) releases from plastic recycling. 
Finally, users can generate Figures 4 and 5 after following the step-by-step process described in main Github repository for the MMA case study. 

This dataset is associated with the following publication:
Hernandez-Betancur, J.D., J.D. Chea, D. Perez, and G.J. Ruiz-Mercado. Integrating data engineering and process systems engineering for end-of-life chemical flow analysis.   COMPUTERS AND CHEMICAL ENGINEERING. Elsevier Science Ltd, New York, NY, USA, 204: 109414, (2026).

Tags: chemical-flow-analysis, chemical-risk-evaluation, data-engineering, end-of-life, machine-learning
Organization: U.S. Environmental Protection Agency
Utah FORGE: Fluid Injection-Rate Controls on Seismic Moment from Laboratory Fault Reactivation Experiments

This dataset contains experimental and acoustic data from shear reactivation tests that investigate the relationship between fluid-injection rate, pore pressure distribution, and seismic moment during laboratory fault slip. It includes raw mechanical data and acoustic emission recordings from fifteen experiments performed on 2.5-3 inch granitoid cores from the Utah FORGE enhanced geothermal systems (EGS) site. Each sample contains a single inclined fracture with small-scale surface roughness.

Experiments were conducted in an aluminum triaxial pressure vessel (TEMCO) equipped with three independently servo-controlled pumps using distilled water as the working fluid. The pumps regulated confining, upstream pore, and axial pressures, with each connected to a LabView interface to record applied pressures, cumulative injected volumes, and flow rates. The downstream outlet was closed to allow pressurization, monitored by an external pressure transducer. Axial displacement was measured by a linear variable differential transformer (LVDT) attached to the axial piston and converted to shear displacement along the fracture. Acoustic emissions were recorded using P-wave transducers, with event timing, amplitude, and cumulative amplitude compared against seismic moment and shear slip velocity.

Fluid injection rates of 0.05, 0.25, and 0.75 mL/min were applied under constant shear stress conditions, with both uniform and non-uniform along-fault pressure distributions. Samples were fully saturated with deionized water. Axial and confining stresses were increased to 3 MPa in 500 kPa increments, while pore pressure was held at 200 kPa prior to initiating shear mobilization. Axial stress was then increased to induce shear slip and subsequently reduced to approximately 60%, 80%, or 90% of the peak shear stress, depending on the experiment. The raw mechanical data files include time-series measurements of confining, pore, and axial pressures; pump volumes and flow rates; time (in hours:minutes:seconds); axial displacement (in millimeters); and downstream pressure (in psi).



Tags: acoustic-emissions, axial-displacement, egs, energy, fault-reactivation, fluid-injection, geomechanics, geothermal, granitoid, induced-seismicity, injection-rate, laboratory-experiments, matlab, mechinical-data, permeability, pore-pressure, pore-pressure-distribution, pressure-vessel, processed-data, raw-data, seismic-moment, shear-slip, shear-stress, time-series-data, triaxial-testing, utah-forge
Organization: Department of Energy
Utah FORGE: Laboratory Fault Reactivation and Permeability Evolution During Fluid Injection

This dataset contains results from controlled shear reactivation experiments performed on cylindrical Westerly and granitoid granite samples with a single inclined fracture. Laboratory faults were pre-loaded near failure and reactivated by fluid injection to examine relationships between permeability and induced seismicity. Experiments were conducted under zero displacement or constant shear stress boundary conditions, with upstream pore pressure incremented stepwise while downstream pressure was held constant or at a fixed differential. Deionized water was used as the working fluid. Shear displacement, fault permeability, and acoustic emissions were recorded throughout reactivation, capturing both mechanical and seismic responses. The dataset includes calibrated acoustic emission (AE) records and mechanical measurements documenting changes in flow and shear behavior following each reactivation event. Fault shear displacement was measured together with AE from the calibrated PZT sensors located at the sample end. Passive AE signals were recorded downstream in this study.

Tags: acoustic-data, acoustic-emissions, egs, energy, fault-reactivation, fluid-injection, geomechanics, geothermal, granitoid, induced-seismicity, mechanical-data, permeability, permeability-evolution, pore-pressure, processed-data, raw-data, seismicity, shear-stimulation, shear-stress, single-inclined-fracture, triaxial-testing, utah-forge, westerly-granite
Organization: Department of Energy
NREL's Measurement and Instrumentation Data Center

The Measurement and Instrumentation Data Center (MIDC) provides irradiance and meteorological data from a network of ground stations in the U.S. It serves as a central location for accessing solar and weather data collected from various sites, including the prominent NREL Solar Radiation Research Laboratory (SRRL) Baseline Measurement System (BMS). The MIDC offers data and tools to support the analysis and development of advanced energy technologies and the broader energy community. 

Tags: data, instrumentation, irradiance, measurement, meteorological, midc, nrel, solar, solar-calendar, solar-raditation, united-states, unprocessed-data, weather, wind-roses
Organization: Department of Energy
Analytical Dataset

This dataset contains the basic analytical outputs used to generate figures for the paper and used as the basis for modeling inputs. It also contains a workup of the SVOC data from the integrated areas, since these were assembled via non-standard methods. 

This dataset is associated with the following publication:
Martin, J., X. Liu, I. George, K. Seltzer, H. Halliday, M. Hays, and H. Pye. Implications of printing ink composition for ambient air pollutants.   ACS ES&T Air. American Chemical Society, Washington, DC, USA, 2(9): 1987–1995, (2025).

Tags: ozone, particulate-matter-pm, printing-ink, secondary-organic-aerosol, volatile-chemisal-products
Organization: U.S. Environmental Protection Agency
Performance data for enhanced Innovative/Alternative (I/A) septic systems for nitrogen removal installed in a field demonstration in Barnstable, Massachusetts (2021 - 2025)

Performance data for enhanced I/A septic systems designed for nitrogen removal that were installed during a demonstration project in Barnstable, MA. Includes 1) field and laboratory measurements of water quality parameters in influent, effluent, and lysimeters below leach fields (where available) and 2) metered flow to each system. The initial release (Version 1) includes data collected from 2021-12-10 through 2023-05-03. The second release (Version 2) adds data through 2023-12-04. The third and final release adds (Version 3) adds data through 2025-07-21. The README file contains additional details, including notes on data limitations and a change log.

Tags: nitrogen-and-co-pollutants, septic-systems, wastewater-monitoring, wastewater-treatment
Organization: U.S. Environmental Protection Agency
Linearized Distribution Optimal Power Flow for OEDI SI

This research is to meant to demonstrate the OEDI SI use case for distributed optimal power flow (DOPF). The goal was to formulate the optimal power flow problem in the distribution system for active and reactive power setpoints of PV systems using topology information and voltage measurements. The co-simulation runs every 15 minutes as outlined within the scenario file for the given feeder configuration. 

The linked GitHub repository includes five federates to achieve DOPF for the small, medium, large, and IEEE 123 feeder scenarios. We are using the OEDI SI framework, as well as the example feeder, sensor, recorder, and estimator federates provided in the example repository for OEDI SI. We also provide a runner script for switching between scenarios.

Tags: algorithm, code, distribution, dopf, energy, grid, linearized-distribution, oedi-si, optimal-power-flow, power, power-flow, pv, python, simulation, solar, solar-power
Organization: Department of Energy