AndreaBozzo/ceres-open-data-index huggingface dataset:
Multibeam Bathymetry Database (MBBDB)

Originally designed for military use, the multibeam echosounder has proved very useful for nautical charting, oceanographic research and modeling, habitat classification, maritime commerce, and recreational applications. The Multibeam Bathymetry Database at NCEI collects and archives multibeam data from the earliest commercial installations (circa 1980) through today's modern high-resolution collections. Data are acquired from a variety of primarily government and academic sources (see individual cruise metadata records for source information) and consist of the raw (as collected) sonar data files. Datasets may also include processed or edited versions of the sonar data, ancillary data, derived products, and/or metadata for the data collection. The Multibeam Bathymetry Database provides data that span the globe and are discoverable and accesible via map interface or text-only search options.

Tags: abyssal hills/plains, bathymetry, bathymetry/seafloor topography, continental margins, doc/noaa/nesdis/ncei, doc/noaa/nesdis/ngdc, earth science, elevation theme, fracture zones, global ocean, icsu-wds, international council for science - world data system, national centers for environmental information, national geophysical data center, national geospatial data asset, nesdis, ngda, ngdaid41, noaa, ocean plateaus/ridges, oceans, sea floor, seafloor topography, seamounts, submarine canyons, trenches, u.s. department of commerce, water depth
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
U.S. Coastal Lidar Elevation Data Archive - Including the Great Lakes and Territories, 1996 - present (NCEI DSI 2068_01)

The coastal lidar archive includes data from both topographic and bathymetric lidar surveys along U.S. coasts. Data in the archive span from the mid-1990s to the present and are collected using a variety of different lidar systems. The extent of individual lidar surveys varies, ranging from shoreline strips to full county coverage. Many different organizations have contributed to the lidar data collection, including federal, state and local partners. Data are available for all U.S. coastal states and include multiple U.S. territories such as Puerto Rico, U.S. Virgin Islands, Guam, and American Samoa. NCEI is the long-term archive for U.S. coastal lidar data distributed publicly through the NOAA Office for Coastal Management.

Tags: active remote sensing, altimeters, bathymetry, bathymetry/seafloor topography, coastal elevation, coastal landforms, coastal landforms/processes, coastal processes, coastal services center, continent, doc/noaa/nesdis/ncei, doc/noaa/nesdis/ngdc, doc/noaa/nos/csc, doc/noaa/nos/ocm, earth remote sensing instruments, earth science, geomorphic landforms/processes, geomorphology, land surface, lidar altimeters, lidar/laser altimeters, light detection and ranging altimeters, national centers for environmental information, national geophysical data center, national ocean service, nesdis, noaa, north america, oceans, office of coastal management, sea floor, seafloor topography, shoreline, solid earth, terrain elevation, topography, u.s. department of commerce, u.s. great lakes shoreline, u.s. shoreline, u.s. territories shoreline, united states of america, vertical location, water depth
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Thermal Springs List for the United States (NCEI Geothermal Database)

The NOAA National Centers for Environmental Information ceased providing support for this product on May 05, 2025. Note this metadata record is accompanied by another newer version of metadata for the same product. Geothermics is the study of heat generated in Earth's interior and its manifestation at the surface. The NOAA National Centers for Environmental Information has a variety of publications and data sets which provide information on the location, magnitude, and potential uses of geothermal resources. The publication, "Thermal Springs List for the United States" (1981) is a compilation of 1,700 thermal springs locations in 23 states. The list gives the geographic locations of thermal springs by state, and is sorted by degrees of latitude and longitude within the state. It contains the name of each spring (where available), maximum surface temperature (in both degrees Fahrenheit and degrees Celsius), name of corresponding USGS 1:2,500,000-scale (AMS) map, largest scale USGS topographic map coverage available (either 7.5 or 15-min. quadrangle), and cross-references. Thermal springs listed include natural surface hydrothermal features (springs, pools, mud pots, mud volcanoes, geysers, fumaroles, and steam vents) at temperatures of 20 degrees Celsius (68 degrees Fahrenheit) or higher. They do not include wells or mines, except at sites where they supplement or replace natural vents that have been active recently or at sites where orifices are indistinguishable as natural or artificial. The thermal springs data from this publication are also available on-line."Geothermal Gradient Map of the United States" (1982) shows 1,700 wells, with accompanying heat flow and conductivity data. This map was produced in cooperation with Los Alamos National Laboratory. Thermal aspect data (1991) from the Decade of North American Geology project, are available on diskette. These data were compiled by Dr. David Blackwell of Southern Methodist University. Global heat flow data (1993) were compiled by Dr. Henry Pollack of the University of Michigan. Data were collected through the World Heat Flow Committee of the International Council of Scientific Unions. These are available on-line.

Tags: continent, doc/noaa/nesdis/ncei, doc/noaa/nesdis/ngdc, earth science, geothermal, geothermal temperature, ground water, hydrosphere, icsu-wds, international council for science - world data system, national centers for environmental information, national geophysical data center, nesdis, noaa, north america, north and central america, solid earth, springs, u.s. department of commerce, united states, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
TEAMER: Cross-flow Turbine Hydrodynamics

The objective of this work is to validate RANS and LES computations of cross-flow turbine hydrodynamics using laboratory scale measurements. Validation involves the comparison of time-and phase averaged performance metrics and flowfields across the widest practical range of turbine kinematics and geometry. Turbine performance was monitored use a series of six-axis load cells and flowfields were measured using a particle image velocimetry (PIV), both within the rotor and in the wake. Six test cases were chosen. Three involve operating a turbine with symmetric foils at a constant rotation rate and under intracycle speed control (both optimally and sub-optimally). Intracycle control of cross-flow turbines has been shown to have significant potential to increase turbine power output. Such control significantly modulates separation and recovery dynamics and therefore poses a challenging set of cases for simulation validation. The second group of three cases kept the rotation rate constant while varying the geometric camber of the foils by up to 2% in either direction. By changing camber, the pressure gradients and flow curvature on the surface of the blade can be varied, providing a significant test of the efficacy of near-blade modelling. 

A total of six primary validation cases are explored in two broad categories. For each of these cases experimental and computational performance and flowfields are compared. A significantly greater number of experimental and computational cases were obtained to broaden the parameter space and to inform the sensitivity of either the experimental or computational parameter space, some of which are summarized below. 
Exploration of intracycle control kinematics for a two-bladed turbine: 
(1)	Optimal tip-speed ratio for constant speed control. 
(2)	Intracycle kinematics corresponding to optimum power enhancement at the same mean tip-speed ratio
(3)	Intracycle kinematics corresponding to poor performance at the same mean tip-speed ratio
Exploration of cambered blade geometry for a one-bladed turbine operating under constant speed control: 
(4)	Symmetric NACA 0018 foil at TSR = 2
(5)	Cambered NACA +2418 foil at TSR = 2
(6)	Cambered NACA -2418 foil at TSR = 2

A portion of the intracycle control data were published by Athair et al (2023) and presented at EWTEC 2023. See "Intracycle Control Sensitivity of Cross-Flow Turbines" resource below. 

A portion of the cambered foil data is being prepared for peer reviewed publication which will be added to this submission when available. 
A. Athair, C. Consing, J. Frank, O. Williams. The impacts of geometric camber on cross-flow turbine performance and hydrodynamics.

Both experimental and corresponding simulation data are available in this dataset. The simulation data were generated by the team of Jennifer Franck at the University of Wisconsin-Madison.

Tags: cross-flow, cross-flow-turbine, data, energy, hydrodynamics, hydrokinetic, les, marine, mhk, power, processed-data, rans, teamer, turbine, validation
Organization: Department of Energy
Annual Allowable Rent Increase for Units Under Rent Control

In accordance with Rules and Regulations Section 1.12 (https://www.sf.gov/reports--rent-board-rules-and-regulations), the Rent Board sets the annual allowable rent increase for rent controlled units. The new rates are effective every year on March 1. The amount is based on 60% of the percentage increase in the Consumer Price Index (CPI) for All Urban Consumers in the San Francisco-Oakland-San Jose region for the 12-month period ending October 31, as posted in November by the Bureau of Labor Statistics.

Tags: annual-rent-increase, rent-control, rent-increase
Organization: City of San Francisco
CUNY Community College Expenditures By Source

This dataset, updated annually, shows community college spending by fiscal year, broken out by funding source. Funding which supports senior college and Hunter Campus Schools activities is not included here. City tax levy includes pension contributions which are budgeted in the Pension Agency and Collective Bargaining, Medicare Part B and Stabilization Fund contributions which are budgeted in the Miscellaneous Agency. Tuition includes Tuition and Fees, Miscellaneous Revenues, Adult Continuing Education fees and Other Categorical funds. State and Federal dollars are combined and include Community Development funds. Dollars are in millions.

Tags: analysis-of-agency-budget, city-university-of-new-york, community-colleges, cuny, expenditures-by-sources, mayors-message, mm, nyc-omb
Organization: City of New York
NYC Climate Budgeting Report: Forecasted Avoided Health Events

This dataset contains the cumulative estimated health benefits due to reductions in fine particulates or particulate matter less than 2.5 micrometers in diameter (PM2.5) from 2023 to 2050. The Mayor’s Office of Management and Budget (OMB) obtained the health events avoided values through collaboration with the NYC Health Department. The reductions in PM2.5 are the same reductions found in the <a href=https://data.cityofnewyork.us/City-Government/NYC-Climate-Budgeting-Report-Forecast-of-Emissions/3z69-v9cd" rel="noopener noreferrer" target="_blank">"Forecasted Emissions and PM2.5 Reductions from City Actions"</a> dataset. For any additional detail please refer to section 6 of the New York City Climate Budgeting Technical Appendices (https://www.nyc.gov/assets/omb/downloads/pdf/exec24-nyccbta.pdf).  This dataset is going to be updated once a year during the Executive Budget.

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: avoided-health-events-forecast, climate-budgeting, executive-budget, nyc-omb
Organization: City of New York
NYC Climate Budgeting Report: Emission Factors

This dataset contains forecasted emissions factors for electricity generation and transportation. These factors are used to convert activity data to particulate matter 2.5 (PM2.5) emissions and metric ton of carbon dioxide equivalent (mTCO2e). This dataset can be applied to <a href="https://data.cityofnewyork.us/City-Government/NYC-Climate-Budgeting-Report-Forecast-of-Emissions/3z69-v9cd" target="_blank">"Forecast of Emissions and PM 2.5 Reductions from City Actions" </a>and the <a href="https://data.cityofnewyork.us/City-Government/NYC-Climate-Budgeting-Report-Forecast-of-Citywide-/czei-7bxd" target="_blank">"Forecast of Citywide Emissions" </a>dataset to convert from activity data to emissions. For any additional detail please refer to section 6 of the New York City Climate Budgeting Technical Appendices (https://www.nyc.gov/assets/omb/downloads/pdf/exec24-nyccbta.pdf). This dataset is going to be updated once a year during the Executive Budget.

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: climate-budgeting, emissions, executive-budget, nyc-omb
Organization: City of New York
New York City Settlement Payments

This dataset contains actual and forecasted Settlement Payments data. Dataset is intended to match charts and tables in the "Tax Revenue" section of the Mayor`s Message publication. Forecast values are from the April 2020 Executive Budget. The amount is in millions of dollars. Data are from Tax Year 2001 and updated once a year.

Tags: mayors-message, nyc-omb, nyc-settlement-payments
Organization: City of New York
NYC Climate Budgeting Report: Forecast of Citywide Emissions

This dataset contains the estimated emissions and activity remaining in each of the modeled scenarios. For more detail on the changes from forecast year to forecast year, please refer to  <a href="https://data.cityofnewyork.us/City-Government/NYC-Climate-Budgeting-Report-Forecast-of-Emissions/3z69-v9cd" rel="noopener noreferrer" target="_blank">"Forecast of Emissions and PM 2.5 Reductions from City Actions"</a>  dataset as this contains the reductions for each scenario. For more detail on the conversion from activity value to emissions, please refer to the  <a href=https://data.cityofnewyork.us/dataset/NYC-Climate-Budgeting-Report-Emission-Factors/umve-k9rk" rel="noopener noreferrer" target="_blank">"Emissions Factors"</a> dataset.  This dataset is going to be updated once a year during the Executive Budget.

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: citywide-emissions-forecast, climate-budgeting, excutive-budget, nyc-omb
Organization: City of New York
Fire Incident Dispatch Data

The Fire Incident Dispatch Data file contains data that is generated by the Starfire Computer Aided Dispatch System. The data spans from the time the incident is created in the system to the time the incident is closed in the system.  It covers information about the incident as it relates to the assignment of resources and the Fire Department’s response to the emergency. To protect personal identifying information in accordance with the Health Insurance Portability and Accountability Act (HIPAA), specific locations of incidents are not included and have been aggregated to a higher level of detail.

Tags: 2018od4a-report, dispatch, fdny, fire
Organization: City of New York
New York City Personal Income Tax Collections By Component

This dataset contains the components of personal income tax revenue in actual and forecasted amounts. Dataset is intended to match charts and tables in the "Tax Revenue" section of the Mayor`s Message publication. Forecast values are from the April 2020 Executive Budget. The amount is in millions of dollars. Data are from FY2001 and updated once a year.

Tags: mayors-meessage, mayors-message, nyc-omb, nyc-personal-income-tax-collections
Organization: City of New York
NYC Climate Budgeting Report: Climate Funding Expense Highlights

Noncomprehensive list of programs with a positive climate impact, in millions of dollars. This dataset will be updated once per year with the release of the Executive Budget.

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
Organization: City of New York
NYC Climate Budgeting Report: Forecast of Emissions and PM 2.5 Reductions from City Actions

This dataset contains the estimated greenhouse gas emissions and particulate matter reductions from city actions. Mayor’s Office of Management and Budget's (OMB) Environmental Sustainability and Resiliency (ESR) Taskforce analyzed a set of city actions, a collection of policies and commitments the city is making to reduce citywide emissions to complete the New York City (NYC) forecast. The city actions and a short description of them can be found in figure 3.36 in the "New York City’s Anticipated Progress" sub-section of the FY25 New York City Climate Budgeting publication (https://www.nyc.gov/assets/omb/downloads/pdf/exec24-nyccb.pdf).  For additional detail of city actions, please refer to sections 6.b., 6.c., 6.d., 6.e., and 6.f. of the New York City Climate Budgeting Technical Appendices (https://www.nyc.gov/assets/omb/downloads/pdf/exec24-nyccbta.pdf). This dataset is going to be updated once a year during the Executive Budget.

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: city-actions, climate-budgeting, emissions, excutive-budget, nyc-omb, pm-2-5, reduction-forecast
Organization: City of New York
Community Reporting Areas

<div><b>Please Note</b>:  Community Reporting Areas (CRA) have been updated to follow the 2020 census tract lines which resulted in minor changes to some boundary conditions.  They have also been extended into water areas to allow the assignment of CRAs to overwater housing and businesses.  To exclude the water polygons from a map choose the filter, water=0.</div><div><br /></div>Community reporting areas (CRAs) are designed to address a gap that existed in city geography. The task of reporting citywide information at a &quot;community-like level&quot; across all departments was either not undertaken or it was handled in inconsistent ways across departments. <div><br /></div><div>The CRA geography provides a &quot;common language&quot; for geographic description of the city for reporting purposes. Therefore, this geography may be used by departments for geographic reporting and tracking purposes, as appropriate.  The U.S. Census Bureau census tract geography was chosen as the basis of the CRA geography due to their stability through time and link to widely-used demographic data.</div><div><br /></div><div>The following criteria for a CRA geography were defined for this effort:</div><div><ul><li>no overlapping areas</li><li>complete coverage of the city</li><li>suitable scale to represent neighborhood areas/conditions</li><li>reasonably stable over time</li><li>consistent with census geography</li><li>relatively easy to use in a data context</li><li>familiar system of common place names</li><li>respects neighborhood district geography to the extent possible</li></ul></div><div>The following existing geographies were reviewed during this effort:</div><div><ul><li>neighborhood planning areas (DON)</li><li>neighborhood districts (DON/CNC/Neighborhood District Councils)</li><li>city sectors/neighborhood plan implementation areas (DON)</li><li>urban centers/urban villages (DPD)</li><li>population sub-areas (DPD)</li><li>Neighborhood Map Atlas (City Clerk)</li><li>Census tract geography</li><li>topography</li><li>various other geographic information sources related to neighborhood areas and common place names</li></ul></div><div>This is not an attempt to identify neighborhood boundaries as defined by neighborhoods themselves.<br /></div>

Tags: community-reporting-area, cra, gis, neighborhoods, planning, seattle-gis-open-data
Organization: City of Seattle
2023 SPR Gap Analysis

<div>Seattle Parks and Recreation 2023 Walkability Gap Analysis. </div><div><br /></div><div>SPR’s intent is to gain a more accurate picture of access, by measuring how people walk to a park or recreation facility. We are calling this &quot;walkability&quot;.</div><div><br /></div><div>This map shows what a 5-minute and a 10-minute walking distance (or walkability area) looks like around park lands that are greater than 10,000 square feet in size.</div><div><br /></div>

Tags: gap-analysis, seattle-gis-open-data, spr, walkability, walking-analysis
Organization: City of Seattle
MD iMAP: Maryland Long Term Care Assisted Living - Other

This is a MD iMAP hosted service layer. Find more information at http://imap.maryland.gov. OP&R organizes and prepares for public health and medical emergencies through statewide partnerships with public -  private and government agencies to coordinate an effective emergency response for the health and safety of all residents of Maryland. Last Updated:  10/06/2014 Feature Service Layer Link: https://mdgeodata.md.gov/imap/rest/services/Health/MD_LongTermCareAssistedLiving/FeatureServer ADDITIONAL LICENSE TERMS: The Spatial Data and the information therein (collectively "the Data") is provided "as is" without warranty of any kind either expressed implied or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct indirect incidental consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.

Tags: assisted-living, department-of-health-and-mental-hygiene, dhmh, dialysis, dynamic, health, hlth, hospice, kml, maryland, md, md-imap, office-of-preparedness-and-response, opr, psychiatric, rehabilitation, special-hospitals, vector, wfs, wms
Organization: State of Maryland