AndreaBozzo/ceres-open-data-index huggingface dataset:
2021 Future Planning Analysis Areas

<div style='text-align:Left;'><div><div><p><span>Planned Land Use from the 2021 Comprehensive Plan Amendment Act of 2021. This data set is an update to the 2006 original version, which was digitized from the Generalized Land Use Map of the District of Columbia Comprehensive Plan. It shows which areas of the city are planned for various uses. These uses include residential and commercial uses at various densities, public land, institutional, federal, and industrial uses. Although planned uses and current uses may be similar, this is not a data set describing current land use. This is a generalized product, and cannot be used to identity specific uses for all specific locations in the District of Columbia.</span></p></div></div></div>

Tags: compplan, comprehensive-plan, comprehensive-plan-land-use, district-of-columbia, future-land-use, land-use, landuse, planning, washington-dc
Organization: District of Columbia
2021 Resilience Focus Areas

<div style='text-align:Left;'><div><div><p><span>Planned Land Use from the 2021 Comprehensive Plan Amendment Act of 2021. This data set is an update to the 2006 original version, which was digitized from the Generalized Land Use Map of the District of Columbia Comprehensive Plan. It shows which areas of the city are planned for various uses. These uses include residential and commercial uses at various densities, public land, institutional, federal, and industrial uses. Although planned uses and current uses may be similar, this is not a data set describing current land use. This is a generalized product, and cannot be used to identity specific uses for all specific locations in the District of Columbia.</span></p></div></div></div>

Tags: compplan, comprehensive-plan, comprehensive-plan-land-use, district-of-columbia, future-land-use, land-use, landuse, planning, washington-dc
Organization: District of Columbia
2021 Comp Plan Policy

<div style='text-align:Left;'><div><div><p><span>Planned Land Use from the 2021 Comprehensive Plan Amendment Act of 2021. This data set is an update to the 2006 original version, which was digitized from the Generalized Land Use Map of the District of Columbia Comprehensive Plan. It shows which areas of the city are planned for various uses. These uses include residential and commercial uses at various densities, public land, institutional, federal, and industrial uses. Although planned uses and current uses may be similar, this is not a data set describing current land use. This is a generalized product, and cannot be used to identity specific uses for all specific locations in the District of Columbia.</span></p></div></div></div>

Tags: compplan, comprehensive-plan, comprehensive-plan-land-use, district-of-columbia, future-land-use, land-use, landuse, planning, washington-dc
Organization: District of Columbia
2021 Future Land Use

<div style='text-align:Left;'><div><div><p><span>Planned Land Use from the 2021 Comprehensive Plan Amendment Act of 2021. This data set is an update to the 2006 original version, which was digitized from the Generalized Land Use Map of the District of Columbia Comprehensive Plan. It shows which areas of the city are planned for various uses. These uses include residential and commercial uses at various densities, public land, institutional, federal, and industrial uses. Although planned uses and current uses may be similar, this is not a data set describing current land use. This is a generalized product, and cannot be used to identity specific uses for all specific locations in the District of Columbia.</span></p></div></div></div>

Tags: compplan, comprehensive-plan, comprehensive-plan-land-use, district-of-columbia, future-land-use, land-use, landuse, planning, washington-dc
Organization: District of Columbia
Comprehensive Plan in 2021

<div style='text-align:Left;'><div><div><p><span>Planned Land Use from the 2021 Comprehensive Plan Amendment Act of 2021. This data set is an update to the 2006 original version, which was digitized from the Generalized Land Use Map of the District of Columbia Comprehensive Plan. It shows which areas of the city are planned for various uses. These uses include residential and commercial uses at various densities, public land, institutional, federal, and industrial uses. Although planned uses and current uses may be similar, this is not a data set describing current land use. This is a generalized product, and cannot be used to identity specific uses for all specific locations in the District of Columbia.</span></p></div></div></div>

Tags: compplan, comprehensive-plan, comprehensive-plan-land-use, district-of-columbia, future-land-use, land-use, landuse, planning, washington-dc
Organization: District of Columbia
Defacto Marine Protected Areas of the United States

These data provide the spatial boundaries of DeFacto Marine Protected Areas in U.S. Waters. With nearly 1200 sites (for which GIS data are available), DFMPAs cover 3% of the U.S. waters, (0-200 nautical miles offshore), which includes the Exclusive Economic Zone (EEZ), Territorial Sea, and state waters. DFMPAs range in size from less than one acre to more than 40,000 km2, though the vast majority is at the smaller end of this spectrum. Most of the small sites were created to provide places for vessels to anchor safely. Most of the large sites provide dedicated training and operation areas for various branches of the U.S. military, or facilitate the transfer of oil and gas to moored tanker vessels.

Tags: defacto mpas, doc/noaa/nos/nms, marine boundaries, marine protected areas, mpa_inventory, national marine sanctuaries, national ocean service, nautical charting, noaa, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Building Component Library

The Building Component Library (BCL) is the U.S. Department of Energy's comprehensive online searchable library of energy modeling building blocks and descriptive metadata. Novice users and seasoned practitioners can use the freely available and uniquely identifiable components to create energy models and cite the sources of input data, which will increase the credibility and reproducibility of their simulations.

The BCL contains components which are the building blocks of an energy model. They can represent physical characteristics of the building such as roofs, walls, and windows, or can refer to related operational information such as occupancy and equipment schedules and weather information. Each component is identified through a set of attributes that are specific to its type, as well as other metadata such as provenance information and associated files. 

The BCL also contains energy conservation measures (ECM), referred to as measures, which describe a change to a building and its associated model. For the BCL, this description attempts to define a measure for reproducible application, either to compare it to a baseline model, to estimate potential energy savings, or to examine the effects of a particular implementation. 

The BCL contains more than 30,000 components and measures. A faceted search mechanism has been implemented on the BCL that allows users to filter through the search results using various facets. Facet categories include component and measure types, data source, and energy modeling software type. All attributes of a component or measure can also be used to filter the results.

Tags: bcl, building-component-library, building-components, building-efficiency, ecm, energy-conservation-measures, energy-efficiency, energy-model, energy-modeling, metadata
Organization: Department of Energy
HMS-Gridded-Automation

Batch collection of environmental data modeling workflow for gridded land surface models (LSMs) through DEM acquisition and HMS Restful API tailored for VELMA initialization. 

This dataset is associated with the following publication:
Venable, K., J. Johnston, and S. Leduc. Streamlining land surface model Initialization: Automated data retrieval for VELMA using HMS REST API and GDAL.   ENVIRONMENTAL MODELLING & SOFTWARE. Elsevier Science, New York, NY,   191: 106492, (2025).

Tags: hms, jupyter-notebook, modeling-framework, open-hydrology, velma
Organization: U.S. Environmental Protection Agency
Dataset from Bunker Hill sediments microcosm study

A laboratory-based microcosm study was conducted from September 2023 to July 2024 by the Office of Research (ORD) Cincinnati Lab (ORD-CESER-LRTD-CAISB).  QA Category B data was generated following established methodologies and quality-assurance procedures.  ORD clearance policy requirements for internal technical review, quality assurance review and supervisor reviewer/approval were met.  This data is to be published on ScienceHub following satisfaction of EPA ORD policies. No interpretation of the data is provided. The results of this study will be described in detail in a publication subjected to external, expert peer review. 

Sediments, collected from the Lower Coeur d’Alene Basin (CDA) in the Bunker Hill Mining and Metallurgical Complex Superfund Site (Bunker Hill), were used in microcosms set up and monitored by ORD Cincinnati staff.  The study was designed to evaluate the impact of repeated wetting and drying cycles on sediment porewater metal concentrations in the Lower CDA.  Sediments were subjected to three wetting-drying cycles, and porewater was sampled throughout the duration of the experiment.  Two sediment types were subjected to two different treatments (Permanently wet vs wet/dry) with 3 replicates of each, yielding 12 total microcosms.  Each wetting-drying cycle lasted 30 days and was followed by 30 days of drying (Figure 1).  This data package summarizes sediment, sediment porewater and surface water results including total metal concentrations in sediment and sediment porewater, dissolved organic carbon (DOC) concentrations, dissolved iron and sulfide, UV absorbance at 254 nm, YSI measurements of porewater, sulfate concentrations, times series data of redox potential (Eh), and lead (Pb) speciation analysis of select samples.  See attached QA Memo detailing QA/QC procedures used for each parameter and a schematic of the microcosms.


Tags: floodplain, heavy-metals, hydrology, lead, microcosm, superfund
Organization: U.S. Environmental Protection Agency
Coupling the dual-isotope indicators of water and nitrate indicates legacy groundwater pollution

Shallow groundwater samples were collected since 2006 for routine analysis by ODEQ from 16 domestic wells (installation dating from the 1970s) and 23 ODEQ groundwater monitoring wells (installation dating between 2003-2006) across the SWV-GWMA. In 2012, sampling and analysis for water isotopes (δH2O:2H-H2O and 18O-H2O) were added to the monitoring program. At that time, ODEQ collected samples quarterly in all wells. However, in 2016, ODEQ decreased sampling frequency to once a year (May/June) for all 39 wells, while 12 wells continued to be sampled every quarter. At the same time, sampling and analysis for NO3- isotopes (δNO3-: 15N-NO3- and 18O-NO3-) were added to the monitoring program. This study reports on the monitoring results through 2019, which includes 8 years of water isotope and 4 years for nitrate isotope data. Data were added to include data collected through May 2024, adding 4 additional years. 

This dataset is associated with the following publication:
Weitzman, J., J.R. Brooks, P. Mayer, W. Rugh, and J. Compton. Coupling the dual isotopes of water (δ2H and δ18O) and nitrate (δ15N and δ18O): A new framework for classifying current and legacy groundwater pollution.   Environmental Research Letters. IOP Publishing LIMITED, Bristol,  UK, 16(4): 045008, (2021).

Tags: community-research, groundwater, nitrate, nitrogen, nutrient-managment, translational-science, water-quality, well-water
Organization: U.S. Environmental Protection Agency
Health Inspection Scores (2016-2019)

<strong> As of 2021, the LIVES standard is no longer being used to evaluate restaurants. For that reason, this dataset is no longer being updated but will remain on the open data portal. For new inspection data please visit <u><a href="https://inspections.myhealthdepartment.com/san-francisco">this website</a></u> or download the new data here (<u><a href="https://data.sfgov.org/d/tvy3-wexg">Health Inspections (2023-Present)</a></u>). </strong>

<strong>SUMMARY</strong>
This dataset contains the results of health inspections conducted by the Department of Public Health from 2016-2019. It includes the name and location of each facility inspected, the inspection score, and any violations observed.

<strong>HOW THIS DATASET IS CREATED</strong>
After inspecting a facility, a Health Inspector assigns a score based on observed violations. Violations are categorized by risk level:

<strong>High risk category:</strong> records specific violations that directly relate to the transmission of food borne illnesses, the adulteration of food products and the contamination of food-contact surfaces.
<Strong>Moderate risk category:</strong> records specific violations that are of a moderate risk to the public health and safety.
<strong>Low risk category:</strong> records violations that are low risk or have no immediate risk to the public health and safety.</li>
The score card that will be issued by the inspector is maintained at the food establishment and is available to the public in this dataset.

<strong>UPDATE PROCESS</strong>
This dataset is historical and will not be updated

<strong>RELATED DATASETS</strong>
<li><u><a href="https://data.sfgov.org/d/tvy3-wexg">Health Inspections (2023-Present)</a></u>
<li><u><a href="https://data.sfgov.org/d/5tti-66ds">Health Inspections (2020-2023)</a></u>
<li><u><a href="https://data.sfgov.org/d/pyih-qa8i">Health Inspections (2016-2019)</a></u>
<li><u><a href="https://inspections.myhealthdepartment.com/san-francisco">Inspection lookup tool</a></u>

Tags: department-of-public-health, dph, environmental-health, inspections, lives, restaurant-scores, san-francisco, sanitary-scores, sfdph
Organization: City of San Francisco
Health Inspections (2020-2023)

<strong>Please see <u><a href="https://data.staff.sf.gov/d/tvy3-wexg">Health Inspections (2023-Present)</a></u> for most recent health inspection scores</strong>

<strong>SUMMARY</strong>
This dataset contains the results of health inspections conducted by the Department of Public Health from 2020 to 2023. It includes the name and location of each facility inspected, the facility status (Pass, Conditional Pass, or Closure) after the inspection, and violations observed.

<strong>HOW THIS DATASET IS CREATED</strong>
After inspecting a facility, a Health Inspector assigns a facility status based on observed violations and their health risk. 

<strong>UPDATE PROCESS</strong>
This dataset is contains historical data only and will not be updated.

<strong>RELATED DATASETS</strong>
<li><u><a href="https://data.sfgov.org/d/tvy3-wexg">Health Inspections (2023-Present)</a></u>
<li><u><a href="https://data.sfgov.org/d/5tti-66ds">Health Inspections (2020-2023)</a></u>
<li><u><a href="https://data.sfgov.org/d/pyih-qa8i">Health Inspections (2016-2019)</a></u>
<li><u><a href="https://inspections.myhealthdepartment.com/san-francisco">Inspection lookup tool</a></u>

Tags: food-inspection, health-inspection
Organization: City of San Francisco
NYC Climate Budgeting Report: New Climate Investments And Reallocations In Executive Plan

List of capital and expense programs with a positive climate impact that are newly funded or reallocated in the current budget, in millions of dollars. Expense data is only reported for one year. Capital data is reported for the plan window. This dataset will be updated once per year with the release of the Executive Budget.

This data can be used to create visualizations similar to the tables featured in the Climate Investments section of the FY25 New York City Climate Budgeting publication (https://www.nyc.gov/assets/omb/downloads/pdf/exec24-nyccb.pdf).

You can find the complete collection of Climate Budget data by <a href="https://data.cityofnewyork.us/browse?Data-Collection_Data-Collection=Climate+Budgeting" rel="noopener noreferrer" target="_blank">clicking here.</a>

Tags: budget, climate-budgeting, executive-plan, new-climate-investment-and-allocations
Organization: City of New York
Federal Open Space

<div><a href='https://cteco.uconn.edu/guides/Federal_Open_Space.htm' target='_blank' rel='nofollow ugc noopener noreferrer'>See full Data Guide here. </a><br /></div>Federal Open Space is a polygon feature-based layer that includes land owned in either easement or fee simple interest by the federal government. This layer is based on information that was collected and mapped at various scales and at different levels of accuracy. Types of property in this layer include open space and recreational land open to <span style='background-color:rgb(255, 255, 255);'>the public. Examples</span> include National Park Service land, Army Corps of Engineers land, etc.<div><br /></div><div>This layer has not been updated since 2004 and may not be accurate. <br /><div><br /></div></div>

Tags: boundaries, connecticut, ct, ctdeep, deep, environment, federal, federal-property, land-conservation-and-outdoor-recreation, open-space, planningcadastre, recreation, recreation-areas, space
Organization: State of Connecticut
Urban Service Area

<span style='color: rgb(85, 85, 85); font-family: -apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif; font-size: 14px;'>Polygon feature representing the area within which urban services are provided for the Town of Chapel Hill. Services are provided by the Orange Water and Sewer Authority (OWASA) and the Town of Chapel Hill. Updated regularly as needed.</span>

Tags: chapel-hill, north-carolina, planning, urban-service-boundary
Organization: Town of Chapel Hill, North Carolina
F00912: NOS Hydrographic Survey , 2024-10-15

The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information.
							NOAA is responsible for archiving and distributing the source data as described in this metadata record.

Tags: acoustic sounders, bathymetry, bathymetry/seafloor topography, continent, doc/noaa/nesdis/ncei, doc/noaa/nesdis/ngdc, earth remote sensing instruments, earth science, florida, global positioning system/inertial measurement unit, gps, gps receivers, gps/imu, hydrographic surveys for selected locations within the united states (hydro_bathy_2006), in situ ocean-based platforms, in situ/laboratory instruments, marine sediments, mbes, msbs, multibeam mapping system, multibeam swath bathymetry system, national centers for environmental information, national geophysical data center, nesdis, noaa, north america, ocean, oceans, passive remote sensing, positioning/navigation, profilers/sounders, seafloor topography, sediment composition, ships, sonar, sound navigation and ranging, tampa bay, tampa bay approach channel, u.s. department of commerce, united states of america, water depth
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
United States Earthquake Intensity Database, 1638-1985 (Superseded Version)

The NOAA National Centers for Environmental Information decommissioned the United States Earthquake Intensity Database, 1638-1985 on May 05, 2025 with no further updates. Upon termination, the underlying data will be available from https://doi.org/10.25921/wa4z-d240. Comments and questions may be sent to: ncei.info@noaa.gov. Note this metadata record is accompanied by another newer version of metadata for the same product. The United States Earthquake Intensity Database is a collection of damage and felt reports for over 23,000 U.S. earthquakes from 1638-1985. The majority of intensities are for U.S. cities, but there are also a few earthquakes and intensities for Panama (1925-1975), the Philippines (1926-1937), and Mexico (1887-1981). The data were compiled from various publications, newspaper reports, and special catalogs. The annual serial "United States Earthquakes," is the principal data source and provides 90 percent of the observations. Most records in the file contain the date and time of occurrence and location of the earthquake, magnitude, focal depth, two-digit state code, name and coordinates of observing city or town, the observed intensity at each town, and the distance from city (or locality) to epicenter. The file consists of more than 150,000 earthquake intensity observations. The data file serves as an important information source for the preparation of intensity histories that are useful for environmental and hazard impact statements. The file is static and is no longer being updated.

Tags: catastrophic phenomena, continental tectonics, disasters, doc/noaa/nesdis/ncei, doc/noaa/nesdis/ngdc, earth science, earthquake dynamics, earthquake occurrences, earthquakes, epicenter, global, hypocenter, icsu-wds, infoterra, international council for science - world data system, lithosphere, national centers for environmental information, national geophysical data center, nesdis, noaa, seismic activity, seismic monitoring, seismographs, seismology, seismometers, solid earth, tectonics, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Seismicity Catalog Collection, 2150 BC to 1996 AD (Superseded Version)

The NOAA National Centers for Environmental Information decommissioned the Seismicity Catalog Collection, 2150 BC to 1996 AD on May 05, 2025 with no further updates. Upon termination, the underlying data will be available from https://doi.org/10.25921/f28m-kb46. Comments and questions may be sent to: ncei.info@noaa.gov. Note this metadata record is accompanied by another newer version of metadata for the same product. The Seismicity Catalog Collection is a compilation data on over four million earthquakes dating from 2150 BC to 1996 AD from NOAA's National Geophysical Data Center and U.S. Geological Survey's National Earthquake Information Center. The data include information on epicentral time of origin, location, magnitudes, depth and other earthquake-related parameters. This database is static and is no longer being updated.

Tags: catastrophic phenomena, disasters, doc/noaa/nesdis/ncei, doc/noaa/nesdis/ngdc, earth science, earthquake occurrences, earthquakes, epicenter, global, hypocenter, icsu-wds, infoterra, interior & crust, international council for science - world data system, lithosphere, national centers for environmental information, national geophysical data center, nesdis, noaa, seismic activity, seismic monitoring, seismology, solid earth, tsunami, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce