AndreaBozzo/ceres-open-data-index huggingface dataset:
CRED Reson 8101 multibeam backscatter data of Johnston Island, Pacific Remote Island Areas, Central Pacific in netCDF format

Multibeam backscatter imagery extracted from gridded bathymetry of the lagoon, shelf, and slope environments of Palmyra Atoll, Pacific Island Areas, Central Pacific. These data provide coverage between 20 and 5000 meters. The backscatter dataset includes data collected using Simrad EM300 and Reson 8101 multibeam sonars. The sonars frequencies are 30 kHz and 240 kHz respectively and the backscatter data from each sonar are processed and gridded separately. These metadata are for the 1 m grid cell size Reson 8101 multibeam backscatter data only.

Tags: 1084-06, 2034, acoustic imagery, backscatter, bathymetry/seafloor topography, benthic habitat mapping and characterization - american samoa and pria, central pacific, central pacific ocean, coris_metadata, country/territory, earth science, geographic information, johnston atoll, johnston atoll (16n169w0001), multibeam backscatter, ocean basin, oceans, pacific ocean, pacific remote island areas, pria, seafloor topography, united states of america, usa minor outlying islands
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
ESI-PR38, Caguas, Puerto Rico 2000 (Environmental Sensitivity Index Map)

Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the event of an oil spill incident. ESI maps contain three types of information: shoreline habitats (classified according to their sensitivity to oiling), sensitive biological resources, and human-use resources. Most often, this information is plotted on 7.5 minute USGS quadrangles, although in the Alaska ESI maps, USGS topographic maps at scales of 1:63,360 and 1:250,000 are used, and in other ESI maps, NOAA charts have been used as the base map. Collections of these maps, grouped by state or a logical geographic area, are published as ESI atlases. Digital data have been published for most of the U.S. shoreline, including Alaska, Hawaii, and Puerto Rico.

Tags: aquatic habitat, atlantic ocean, bathymetry, bathymetry/seafloor topography, benthic habitat, biosphere, caribbean sea /north atlantic ocean, cetaceans, coastal habitat, coastal processes, coastal resources, coastal zone management, coral reef conservation, coral reefs, coris_metadata, country/territory, earth science, environmental sensitivity index, esi, esi atlas, esi maps, fish, hydrography, map images, marine biology, marine birds, marine invertebrates, marine mammals, marine reptiles, natural hazards assessment, ocean basin, oceans, oil and chemical spills, oil spill planning, pinnipeds, pr, puerto rico, puerto rico (18n066w0000), reef habitat, sensitivity maps, turtles, united states of america, wildlife
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
ICON - Little Cayman 2012 Meteorological and Oceanographic Observations (NODC Accession 0117730)

The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral bleaching, and other biogeochemical processes occurring on coral reefs. Instrument arrays to measure the various environmental influences are being deployed at key coral reef areas to gain long-term temporally intensive data coverage, to provide near real-time information products, and to surface-truth NOAA satellite sea surface temperature (SST) products used for coral bleaching predictions ("HotSpot" products). OAR has developed expert system software plus the instrument array (together called an Integrated Coral Observing Network, or ICON, station) to screen data in near real-time to test for appropriate data ranges for each of the instruments, and to issue "alerts" as to conditions thought to be conducive to coral bleaching, and other modeled events. At each ICON station, local collaborators also provide feedback on the presence and progress of coral bleaching and thus validate coral bleaching predictions made by satellite HotSpots and ICON information products.

Tags: 535, air temperature, atlantic ocean, atmosphere, atmospheric pressure, atmospheric temperature, atmospheric water vapor, atmospheric winds, biosphere, bloody bay ( jackson point ) (19n080w0002), bloody bay marine park, bloody bay marine park (19n080w0005), c-man, caribbean sea, cayman islands, conductivity, coral, coral health and monitoring program (champ)/integrated coral observing network (icon), coral reef, corals, coris_metadata, country/territory, crews, crews (coral reef early warning system), dew point temperature, earth science, humidity, icon, in situ meteorological, in situ physical, little cayman, north atlantic ocean, numeric data sets, ocean basin, ocean optics, ocean pressure, ocean temperature, oceanography, oceans, photosynthetically active radiation, physical oceanography, precipitation, precipitation amount, radiation budget, rain, reef, reef monitoring and assessment, remote sensing, salinity, salinity/density, sea level pressure, solar irradiance, surface winds, ultraviolet radiation, water temperature, zoology
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
ESI-HI50 Haiku, Island of Maui, Hawaii 2001 (Environmental Sensitivity Index Map)

Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the event of an oil spill incident. ESI maps contain three types of information: shoreline habitats (classified according to their sensitivity to oiling), sensitive biological resources, and human-use resources. Most often, this information is plotted on 7.5 minute USGS quadrangles, although in the Alaska ESI maps, USGS topographic maps at scales of 1:63,360 and 1:250,000 are used, and in other ESI maps, NOAA charts have been used as the base map. Collections of these maps, grouped by state or a logical geographic area, are published as ESI atlases. Digital data have been published for most of the U.S. shoreline, including Alaska, Hawaii, and Puerto Rico.

Tags: aquatic habitat, bathymetry, bathymetry/seafloor topography, benthic habitat, biosphere, central pacific ocean, cetaceans, coastal habitat, coastal processes, coastal resources, coastal zone management, coral reef conservation, coral reefs, coris_metadata, country/territory, earth science, environmental sensitivity index, esi, esi atlas, esi maps, fish, hawaii, hawaii exclusive economic zone, hawaiian islands, hydrography, map images, marine biology, marine birds, marine invertebrates, marine mammals, marine reptiles, maui, maui island, maui island (20n156w0004), mhi, natural hazards assessment, ocean basin, oceans, oil and chemical spills, oil spill planning, pacific ocean, pinnipeds, reef habitat, sensitivity maps, turtles, united states of america, wildlife
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
St. John Shallow-water Ground Validation Transects

Benthic habitat maps of the nearshore marine environment of St. John, U.S. Virgin Islands were created by visual interpretation of remotely sensed imagery. The objective of this effort, conducted by NOAA's Center for Coastal Monitoring and Assessment - Biogeography Branch in partnership with the U.S. National Park Service (NPS), was to provide spatially-explicit information on the habitat types, biological cover and live coral cover of St. John's coral reef ecosystem. The data described herein represent evaluation transects of ground validation (GV) sites explored by NOAA field scientists to further refine habitat map classification. Considering vessel drift during habitat characterization, the entire evaluation period was most accurately represented by a series of GPS points logged at five-second intervals.

Tags: aquatic habitat, atlantic ocean, benthic habitat, benthic habitats, biological cover, biosphere, caribbean sea, coral reef, coris_metadata, country/territory, earth science, geographic information, geomorphological structure, ground validation, habitats, ocean basin, reef, st. john, st. john (18n064w0011), submerged aquatic vegetation, transect, u. s. virgin islands, unconsolidated sediments, united states, united states of america, usvi, virgin islands, zone
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Benthic Habitats of the Agrihan, Northern Mariana Archipelago 2001-2003, Derived From IKONOS Imagery

This project is a cooperative effort between the National Ocean Service, National Centers for Coastal Ocean Science, Center for Coastal Monitoring and Assessment, the University of Hawaii, BAE Systems Spectral Solutions and Analytical Laboratories of Hawaii, LLC. The goal of the work was to map the coral reef habitats of American Samoa, Guam and the Common Wealth of the Northern Mariana Islands by visual interpretation and manual delineation of IKONOS satellite imagery. A two tiered habitat classification system was tested and implemented in this work. It integrates geomorphologic reef structure and biological cover into a single scheme and subsets each into detail. It also includes thirteen zones. Benthic features were mapped that covered an area of 45.2 square kilometers of which 4.4 were unconsolidated sediment and 40.9 were coral reef and hard bottom. Of the coral reef and hard bottom class, 59.9% is colonized by greater than 10% coral cover.

Tags: 1209, agrihan island, agrihan island (18n145e0002), algae, and the northern marianas, aquatic habitat, biosphere, cnmi, coastal habitat, coastal processes, coral reef, coral reef ecology, coral reefs, coralline algae, coris_metadata, country/territory, cover, earth science, geographic information, guam, habitat, habitats, mapping the shallow-water coral reef ecosystems of american samoa, mariana islands, northern mariana islands, ocean basin, oceans, pacific ocean, reef, reef habitat, structure, submerged aquatic vegetation, unconsolidated sediments, united states, vegetation, western pacific ocean, zone
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
PEI 1.2 Average Monthly Youth Served by Region and PEI Program with Demographics FY2015-2024

The Division of Prevention and Early Intervention (PEI) was created to consolidate child abuse prevention and juvenile delinquency prevention and early intervention programs within the jurisdiction of a single state agency. Consolidation of these programs is intended to eliminate fragmentation and duplication of contracted prevention and early intervention services for at-risk children, youth, and families:

Community Youth Development (CYD) - The CYD program contracts with community-based organizations to develop juvenile delinquency prevention programs in ZIP codes with high juvenile crime rates. Approaches used by communities to prevent delinquency have included mentoring, youth employment programs, career preparation, youth leadership development and recreational activities.  Communities prioritize and fund specific prevention services according to local needs. CYD services are available in 15 targeted Texas ZIP codes.

Family and Youth Success Program (FAYS) (formerly Services to At-Risk Youth (STAR)) - The FAYS program contracts with community agencies to offer family crisis intervention counseling, short- term emergency respite care, and individual and family counseling. Youth up to age 17 and their families are eligible if they experience conflict at home, truancy or delinquency, or a youth who runs away from home. FAYS services are available in all 254 Texas counties. Each FAYS contractor also provides universal child abuse prevention services, ranging from local media campaigns to informational brochures and parenting classes.

Statewide Youth Services Network (SYSN) - The SYSN program contracts provide community and evidence-based juvenile delinquency prevention programs focused on youth ages 10 through 17, in each DFPS region.

NOTE:  For FY15, as a result of a new procurement, the overall number of youth served decreased however the service requirements were enhanced with additional programmatic components.

Data as of December 11, 2024.

Tags: data-book, databook, dfps, intervention, oidb, pei, prevention, prevention-and-early-intervention, sysn, topic, youth
Organization: City of Austin
Local Hotel Occupancy Tax Reporting 2023

In the early 1970s, the Texas Legislature authorized certain local governments to begin collecting a hotel occupancy tax (HOT). Almost two decades later, the Legislature offered hotel occupancy taxing authority as one of several revenue options to support sports and community venues. The tax may be levied by a city, county or a partnership between the two.

Throughout the years, the Texas Legislature has passed laws that increased local government transparency while also allowing the public to better understand the state’s patchwork of municipal and county HOTs. During the 88th Legislative Session, House Bill 3727 and Senate Bill 1420 were passed to require municipalities and counties to report the amount and percentage of HOT revenue allocated by the local government.

While the Comptroller’s office is not required to post submitted local HOT information on its website, this office nonetheless intends to make available all municipal and county data provided to it during the reporting period. The data will be available shortly after the reporting period closes.

Questions about the spreadsheet can be sent to the Transparency and Local Government Teams at 844-519-5676 or sent to Transparency@cpa.texas.gov.

Organization: City of Austin
PEI 1.1 Youth Served During Fiscal Year by Region with Demographics FY2015-2024

Prevention and Early Intervention (PEI) was created to consolidate child abuse prevention and juvenile delinquency prevention and early intervention programs within the jurisdiction of a single state agency. To provide services for at-risk children, youth, and families.

Community Youth Development (CYD) - The CYD program contracts services in 15 targeted Texas ZIP codes with community-based organizations to develop juvenile delinquency prevention programs in areas with high juvenile crime rates. Approaches used by communities to prevent delinquency include mentoring, youth employment programs, career preparation, youth leadership development and recreational activities.  Communities prioritize and fund specific prevention services according to local needs.

Family and Youth Success Program (FAYS) (Formerly Services to At-Risk Youth (STAR)) - The FAYS program contracts with community agencies to offer family crisis intervention counseling, short- term emergency respite care, individual and family counseling, and universal child abuse prevention services, ranging from local media campaigns to informational brochures and parenting classes in all counties in Texas. Youth up to age 17 and their families are eligible if they experience conflict at home, truancy or delinquency, or a youth who runs away from home. In FY2018, contracts for the FAYS program were re-procured and started on December 1, 2017. Under these contracts, families could be served through traditional FAYS services or through one-time focused skills training. In some cases, families participating in skills training also chose to enroll in traditional FAYS services. Programmatically, these families are counted uniquely in both programs; for DFPS Data Book purposes, they are reported unduplicated. 

Statewide Youth Services Network (SYSN) - The SYSN program contracts provide community and evidence-based juvenile delinquency prevention programs focused on youth ages 10 through 17, in each DFPS region.

Tags: data-book, databook, dfps, oidb, pei, prevention, prevention-and-early-intervention, topic, youth
Organization: City of Austin
Local Hotel Occupancy Tax Reporting 2024

In the early 1970s, the Texas Legislature authorized certain local governments to begin collecting a hotel occupancy tax (HOT). Almost two decades later, the Legislature offered hotel occupancy taxing authority as one of several revenue options to support sports and community venues. The tax may be levied by a city, county or a partnership between the two.

Throughout the years, the Texas Legislature has passed laws that increased local government transparency while also allowing the public to better understand the state’s patchwork of municipal and county HOTs. During the 88th Legislative Session, House Bill 3727 and Senate Bill 1420 were passed to require municipalities and counties to report the amount and percentage of HOT revenue allocated by the local government.

Organization: City of Austin
Professional Medical Billing Services (SV1) Header Information - Historical

The Texas Department of Insurance, Division of Workers' Compensation (DWC) maintains a database of professional medical billing services (SV1). It contains charges, payments, and treatments billed on a CMS-1500 form by doctors and other health care professionals who treat injured employees, including ambulatory surgical centers, with dates of service more than five years old going back to 2010. For datasets from the past five years, see <a href="https://data.texas.gov/dataset/Professional-Medical-Billing-Services-SV1-Header-I/pvi6-huub"  target="_blank"><u>professional medical billing services (SV1) header information</u></a>.

The header identifies insurance carriers, injured employees, employers, place of service, and diagnostic information. The bill header information groups individual line items reported in the detail section. The bill selection date and bill ID must be used to group individual line items into a single bill. Find more information in our <a href="https://www.tdi.texas.gov/wc/information/documents/pudfdictionary2.xlsx"  target="_blank"><u>professional medical billing services (SV1) header data dictionary</u></a>.

See <a href="https://data.texas.gov/dataset/Professional-Medical-Billing-Services-SV1-Detail-I/7au4-j7bg"  target="_blank"><u>professional medical billing services (SV1) detail information – historical</u></a> for the corresponding detail records related to this dataset. 

Go to our page on <a href="https://www.tdi.texas.gov/wc/information/pudfpricelist.html"  target="_blank"><u>DWC medical state reporting public use data file (PUDF)</u></a> to learn more about using this information.

Tags: billing, cms-1450, cms-1500, dwc-066, facility, hospital, insurance, medical, pharmacy, professional, ub-04, ub-92, workers-compensation
Organization: City of Austin
Local Hotel Occupancy Tax Reporting 2022

In the early 1970s, the Texas Legislature authorized certain local governments to begin collecting a hotel occupancy tax (HOT). Almost two decades later, the Legislature offered hotel occupancy taxing authority as one of several revenue options to support sports and community venues. The tax may be levied by a city, county or a partnership between the two.

Throughout the years, the Texas Legislature has passed laws that increased local government transparency while also allowing the public to better understand the state’s patchwork of municipal and county HOTs. During the 88th Legislative Session, House Bill 3727 and Senate Bill 1420 were passed to require municipalities and counties to report the amount and percentage of HOT revenue allocated by the local government.

Organization: City of Austin
ScienceHub: A model-based assessment of anthropogenic disturbance on lotic macroinvertebrate assemblages

Benthic macroinvertebrate occurrence data and physiochemical variables were retrieved from the 2018-2019 National Rivers and Stream Assessment (https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys) Benthic macroinvertebrate data can be downloaded as .csv file from NRSA 1819 Benthic Macroinvertebrate Count - Data (CSV) (csv).  Physiochemical data can be downloaded as .csv files from NRSA 1819 Water Chemistry_CHLA - Data (CSV) (csv) and NRSA 1819 Physical Habitat Larger Set of Metrics - Data (CSV) (csv)  Landscape variables were retrieved from https://www.epa.gov/national-aquatic-resource-surveys/streamcat-metrics-and-definitions  and PRISM Climate Group  https://prism.oregonstate.edu/ 

Tags: joint-species-distribution-modeling, macroinvertebrates, national-rivers-and-streams-assessment, reference-sites, richness
Organization: U.S. Environmental Protection Agency
Disaster waste decision making qualitative data Phase 1

Interview transcripts. 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: It is stored on the O drive- PRIV -IRBData - MaxwellDWDM. Format: IRB human subjects research data. 

This dataset is associated with the following publication:
Matsler, A.M., K. Maxwell, and S. Henson. ‘Discarding well’ after disasters? Examination of disaster waste and debris management in the United States.   Human Organization. Society for Applied Anthropology, Oklahoma City, OK, USA, 4(2): 133-144, (2025).

Tags: debris, disaster, social-science, waste-management
Organization: U.S. Environmental Protection Agency
Chicago Energy Benchmarking - Covered Buildings

The full list of buildings required to comply with the Chicago Energy Benchmarking Ordinance. As of 2016, this list includes all commercial, institutional, and residential buildings larger than 50,000 square feet. The information in this dataset should be used by building owners / managers or other building representatives to determine if your property needs to comply by the annual deadline of June 1st. This data can also be used to look up your property's unique 6-digit Chicago Energy Benchmarking ID, which is required for compliance. (The ID is also included the notification letters sent by the City.)

The Energy Benchmarking Ordinance calls on existing municipal, commercial, and residential buildings larger than 50,000 square feet to track whole-building energy use, report to the City annually, and verify data accuracy every three years. The law, which phases in from 2014-2017, covers less than 1% of Chicago’s buildings, which account for approximately 20% of total energy used by all buildings. For more details, including ordinance text, rules and regulations, and timing, please visit www.CityofChicago.org/EnergyBenchmarking.

Note that the ordinance authorizes the City to make individual building data readily-available to the public, beginning with the second year in which a building is covered. The Covered Buildings List is distinct from the publicly-shared energy use data, and does not include energy use or any other information reported in the benchmarking process. For the building-specific energy use dataset, see https://data.cityofchicago.org/d/xq83-jr8c.

If your property is on this list, and you do not believe you are covered by the ordinance, please submit the appropriate online exemption form at: www.CityofChicago.org/EnergyBenchmarking. If your property is not on the list, and it meets the compliance criteria, please check for any alternative building addresses. If the building is still not found, please submit the Building ID Request Form (http://www.cityofchicago.org/city/en/depts/mayor/iframe/Benchmarking_ID_Request.html). The Chicago Energy Benchmarking Help Center can assist with any other questions, and can be reached at (855)858-6878, or by email: Info@ChicagoEnergyBenchmarking.org.

This dataset will be refreshed periodically as additional information becomes available. It is advisable to use the then-current version of any dataset, if possible.

Tags: benchmarks, buildings, energy, sustainability
Organization: City of Chicago