AndreaBozzo/ceres-open-data-index huggingface dataset:
Prime Meridian

The Prime Meridian is the meridian (line of longitude) at which the longitude is defined to be 0 degrees. The Prime Meridian and its opposite, the Antimeridian (at +/-180 degrees longitude), form a "great circle" that divides the Earth into the Eastern and Western Hemispheres. By international convention, the Prime Meridian passes through the Royal Observatory, Greenwich, in southeast London, known as the International Meridian or Greenwich Meridian.

Tags: boundaries, earth science, geographic region, global, human dimensions, pacific islands ocean observing system, pacioos
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Shoreline - Ofu, American Samoa

Shoreline of Ofu, American Samoa

Tags: american samoa, boundaries, coastal landforms, coastal processes, earth science, gemorphic landforms/processes, human dimensions, manua, ocean, oceans, ofu, pacific islands ocean observing system, pacific ocean, pacioos, polynesia, shorelines, solid earth, south pacific ocean
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Wave Power Maximum Monthly Climatological Mean, 1979-2013 - Hawaii

Wave power is a major environmental forcing mechanism in Hawaii that influences a number of marine ecosystem processes including coral reef community development, structure, and persistence. By driving mixing of the upper water column, wave forcing can also play a role in nutrient availability and ocean temperature reduction during warming events. Wave forcing in Hawaii is highly seasonal, with winter months typically experiencing far greater wave power than that experienced during the summer months. This layer represents the maximum monthly climatological mean of wave power (kW/m) from 1979-2013. Data were obtained from the University of Hawaii at Manoa (UH) School of Ocean and Earth Science and Technology (SOEST) SWAN model (Simulating WAves Nearshore) following Li et al. (2016).

Hourly 500-m SWAN model runs of wave power were converted to maximum daily wave power from 1979-2013 and then averaged over each month from 1979-2013, creating a monthly time series from which monthly climatologies were made. Pixels were removed directly adjacent to coastlines owing to the model being too coarse to handle extreme refraction and dissipation. Nearshore map pixels with no data were filled with values from the nearest neighboring valid offshore pixel by using a grid of points and the Near Analysis tool in ArcGIS then converting points to raster.

Tags: aquatic ecosystems, biosphere, central pacific ocean, coastal areas, coastal processes, continent, coral reef, coral reefs, earth science, ecosystems, hawaii, hawaiian islands, human dimensions, human settlements, marine ecosystems, north america, ocean, ocean waves, oceans, pacific islands ocean observing system, pacific ocean, pacioos, reef, reef habitat, united states of america, wave power
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
The Nature Conservancy (TNC) Hawaii Marine Program

The Nature Conservancy (TNC) is an international, non-profit conservation organization that works to protect ecologically important lands and waters for nature and people around the world. In Hawaii, TNC has worked with partners and members for 30 years to protect more than one million acres of critical natural lands. The TNC Hawaii Marine Program was launched in 2001 to restore and protect the near-shore coral reefs and marine resources surrounding Hawaii. With the help of local communities and conservation partners, TNC monitors the health and abundance of Hawaii's marine resources to identify major threats and develop strategies for protection. This map shows general areas in Hawaii where TNC has focused its marine monitoring efforts.

For more information, please see:
http://www.nature.org/en-us/about-us/where-we-work/united-states/hawaii/

Tags: animals/vertebrates, aquatic ecosystems, aquatic sciences, biological classification, biosphere, central pacific ocean, coastal processes, continent, coral reefs, earth science, environmental assessments, environmental governance/management, fish, fisheries, hawaii, hawaiian islands, human dimensions, marine environment monitoring, north america, ocean, oceans, pacific islands ocean observing system, pacific ocean, pacioos, reef habitat, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Shallow-Water Benthic Habitats: Northwestern Hawaiian Islands: Maro Reef

Benthic habitat maps for the nearshore, shallow (< 30 m) coastal waters of Maro Reef in the Northwestern Hawaiian Islands (NWHI) and the Papahanaumokuakea Marine National Monument. NOAA's National Centers for Coastal Ocean Science (NCCOS) produced these data to support coral reef research and management. Habitat regions were digitally identified using visual interpretation of orthorectified satellite imagery with a minimum mapping unit (MMU) of approximately 100 square meters (1/40 acre).

A slightly different benthic habitat classification scheme was used for the NWHI compared to the Main Hawaiian Islands (MHI) and other regions across the Pacific (e.g., American Samoa, Guam, and CNMI). While many classes are similar, they are not categorized as biological cover types, geomorphological structure types, and geographic zones. Instead, a hierarchical scheme was used to flexibly denote substrate category (e.g., unconsolidated and hardbottom), structure (e.g., linear reef or pavement), and cover (e.g., coral, coralline algae, or macroalgae).

A total of 45 detailed benthic habitat classes were identified within the NWHI. For simplification and to more easily distinguish cover types, these are presented in a set of 7 aggregated benthic habitat classes including 5 hardbottom substrate classes (live coral, coralline algae, macroalgae, uncolonized, and unknown biological cover) and 2 unconsolidated substrate classes (macroalgae and uncolonized). Query an aggregated polygon to get the detailed benthic habitat classification at the clicked location.

Tags: angiosperms (flowering plants), aquatic ecosystems, benthic habitat, biological classification, biosphere, central pacific ocean, coastal landforms, coastal landforms/processes, coastal processes, continent, coral reefs, earth science, geomorphic landforms/processes, geomorphology, hawaii, hawaiian islands, land surface, maro reef, monocots, north america, northwestern hawaiian islands, ocean, oceans, pacific islands ocean observing system, pacific ocean, pacioos, patch reef, plants, seagrass, solid earth, united states of america, vegetation
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Department of Physical Oceanography, School of Marine Sciences, University of Maine E01 Met Buoy Sensor

Ocean observation data from the Northeastern Regional Association of Coastal &amp; Ocean Observing Systems (NERACOOS). The NERACOOS region includes the northeast United States and Canadian Maritime provinces, as part of the United States Integrated Ocean Observing System (IOOS).  These data are served by Unidata's Thematic Realtime Environmental Distributed Data Services (THREDDS) Data Server (TDS) in a variety of interoperable data services and output formats.

Tags: air_temperature, air_temperature data_quality, barometric_pressure, barometric_pressure data_quality, chlorophyll, conductivity, density, depth, latitude, longitude, neracoos, northeastern regional association of coastal and ocean observing systems (neracoos), ocean chemistry, ocean circulation, ocean currents, ocean optics, ocean pressure, ocean temperature, ocean waves, ocean winds, oceans, oxygen, salinity, salinity/density, sea level pressure, significant wave height, station_name, surface winds, time, time_created, time_modified, turbidity, use_wind, visibility_in_air, visibility_in_air data_quality, water temperature, wave period, wind_2_from_direction, wind_2_from_direction data_quality, wind_2_gust data_quality, wind_2_gust_1s data_quality, wind_2_min data_quality, wind_2_percent_good, wind_2_percent_good data_quality, wind_2_speed, wind_2_speed data_quality, wind_from_direction, wind_from_direction data_quality, wind_gust data_quality, wind_gust_1s data_quality, wind_min data_quality, wind_speed, wind_speed data_quality
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Sea Surface Temperature (SST) Average Annual Maximum Anomaly, 1985-2018 - American Samoa

Sea surface temperature (SST) plays an important role in a number of ecological processes and can vary over a wide range of time scales, from daily to decadal changes. SST influences primary production, species migration patterns, and coral health. If temperatures are anomalously warm for extended periods, drastic changes in the surrounding ecosystem can result, including harmful effects such as coral bleaching. This layer represents the annual average of the maximum anomaly of SST (degrees Celsius) from 1985-2018.

These SST dataset are derived from CoralTemp 5-km gap-free analyzed blended sea surface temperature over the global ocean. CoralTemp is derived from three different but related 5-km daily gap-free SST data sets and provides an internally consistent SST product that stretches from 1985 to present. 1) Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA) Sea Surface Temperature Reanalysis (1985-2002). 2) Geo-Polar Blended Night-Only Sea Surface Temperature Reanalysis (2002-2016). 3) Geo-Polar Blended Night-Only Sea Surface Temperature Near Real-Time (2017 to present). The 8-day composites are generated from daily Coral Reef Watch (CRW) files by OceanWatch Central Pacific.

The SST average annual maximum anomaly was calculated by taking the average of the annual maximum SST values in exceedance of the maximum monthly climatological SST from 1985-2018 for each pixel.

Data source: https://oceanwatch.pifsc.noaa.gov/erddap/griddap/CRW_sst_v1_0_8day.graph

Tags: american samoa, aquatic ecosystems, biosphere, coastal areas, coastal processes, coral reef, coral reefs, earth science, ecosystems, human dimensions, human settlements, manua, marine ecosystems, ocean, ocean temperature, oceans, ofu, olosega, pacific islands ocean observing system, pacific ocean, pacioos, polynesia, reef, reef habitat, rose atoll, sea surface temperature, south pacific ocean, swains, tau, tutuila
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Expediated Modeling of Burn Events Results (EMBER) Data Files Creators

This dataset includes photochemical air quality modeling files for simulations of fire impacts on ground-level ozone cocnentrations in the U.S. during the summer of 2023. A data dictionary describes what is included in the each of the files. Detailed information on the model simulations and the file contents is included in a journal article documenting the dataset: Simon, H., Beidler, J., Baker, K.R., Henderson, B.H., Fox, L., Misenis, C., Campbell, P., Vukovich, J. Possiel, N., Eyth, E. Expediated Modeling of Burn Events Results (EMBER): A Screening-Level Dataset of 2023 Ozone Fire Impacts in the US, Data in Brief, https://doi.org/10.1016/j.dib.2024.111208

A web-based tool for browsing this dataset is also available at: https://www.epa.gov/air-quality-analysis/expedited-modeling-burn-events-results-ember. 

This dataset is associated with the following publication:
Simon, H., J. Beidler, K. Baker, B. Henderson, L. Fox, C. Misenis, P. Campbell, J. Vukovich, N. Possiel, and A. Eyth. Expediated Modeling of Burn Events Results (EMBER): A Screening-Level Dataset of 2023 Ozone Fire Impacts in the US.   Data in Brief. Elsevier B.V., Amsterdam,  NETHERLANDS, 58: 111208, (2025).

Tags: air-pollution, photochemical-modeling, source-attribution, wildland-fire
Organization: U.S. Environmental Protection Agency
School Nutrition Programs - Meal Reimbursement Information - Program Year 2023-2024

<b><a href=https://form.jotform.com/210556567409057 target="_blank">Help us provide the most useful data by completing our ODP User Feedback Survey for School Nutrition Data</a></b><p>


<b>About the Dataset</b><br>
This dataset contains claims information for paid or approved to pay <b>meal reimbursement for sites participating in school nutrition programs for program year 2023-2024.</b><p>

An overview of <b>all SNP data available</b> on the Texas Open Data Portal can be found at our <b><a href=https://data.texas.gov/stories/s/e2dm-5r4v target="_blank">TDA Data Overview - School Nutrition Programs</a></b> page.<p>

An overview of <b>all TDA Food and Nutrition data available</b> on the Texas Open Data Portal can be found at our <b><a href=https://data.texas.gov/stories/s/TDA-Data-Overview-Food-and-Nutrition-Programs-Open/nk79-w2cs/ target="_blank">TDA Data Overview - Food and Nutrition Open Data</a></b> page. <p>

<b>More information about accessing and working with TDA data on the Texas Open Data Portal</b> can be found on the SquareMeals.org website on the <b><a href=http://squaremeals.org/FandNResources/PublicInformationRequests.aspx target="_blank">TDA Food and Nutrition Open Data</a> </b>page.<p>

<hr>
<b>About Dataset Updates</b><br>
TDA aims to post new program year data by September 1 of the active program year. Updates will occur daily during the active program year and end 90 days after the close of the program year. Any data posted during the active program year is subject to change. <p>


<b>About the Agency</b><br>
The Texas Department of Agriculture administers 12 U.S. Department of Agriculture nutrition programs in Texas including the National School Lunch and School Breakfast Programs, the Child and Adult Care Food Program (CACFP), and summer meal programs. TDA’s Food and Nutrition division provides technical assistance and training resources to partners operating the programs and oversees the USDA reimbursements they receive to cover part of the cost associated with serving food in their facilities. By working to ensure these partners serve nutritious meals and snacks, the division adheres to its mission — <i>Feeding the Hungry and Promoting Healthy Lifestyles.</i><p>

<b>For more information on these programs, please visit us at <a href=http://www.SquareMeals.org target="_blank">SquareMeals.org</a>.</b><br>

Tags: after-school-care-program, ascp, average-daily-participation, child, food, free-eligible, meal, national-school-lunch-program, nslp, nutrition, reduced-price-eligible, reimbursement, sbp, school-breakfast-program, special-milk-program, tda, texas-department-of-agriculture
Organization: City of Austin
School Nutrition Programs - Procurement Review with Findings- Program Year 2021 - 2022

<b>About the Dataset</b><br>
This dataset contains: <b>
A list of School Food Authorities (SFAs) that had findings as a result of their most recent Procurement Review with TDA, including: </b>
<li>List of findings </li>
<li>Type of Findings </li>
<li>Corresponding administrative review question </li>
This report can be found on SquareMeals <a href="https://www.squaremeals.org/Programs/National-School-Lunch-Program/Compliance">Compliance for NSLP </a> for the current program year and will be posted to ODP within three months after the end of the program year.

Organization: City of Austin
School Nutrition Programs – Food Service Management Company (FSMC) Information – Program Year 2023-2024

<b><a href=https://form.jotform.com/210556567409057 target="_blank">Help us provide the most useful data by completing our ODP User Feedback Survey for School Nutrition Data</a></b><p>

<b>About the Dataset</b><br>
This dataset contains <b>contact information for each Contracting Entity (CE) sponsor approved to participate in School Nutrition Programs during program year 2023-2024 and information on Food Service Management Company (FSMC) they may contract with.</b> The School Nutrition Program year begins July 1 and ends June 30.<p>

An overview of <b>all TDA Food and Nutrition data available</b> on the Texas Open Data Portal can be found at our <b><a href=https://data.texas.gov/stories/s/TDA-Data-Overview-Food-and-Nutrition-Programs-Open/nk79-w2cs/ target="_blank">TDA Data Overview - Food and Nutrition Open Data</a></b> page. <p>

<b>About Dataset Updates</b><br>
TDA aims to post new data by July 15 of the active school nutrition program year. This dataset contains multi-year data. 

<b>About the Agency</b><br>
The Texas Department of Agriculture administers 12 U.S. Department of Agriculture nutrition programs in Texas including the National School Lunch and School Breakfast Programs , the Child and Adult Care Food Program (CACFP), and summer meal programs. TDA’s Food Nutrition division provides technical assistance and training resources to partners operating the programs and oversees the USDA reimbursements they receive to cover part of the cost associated with serving food in their facilities. By working to ensure these partners serve nutritious meals and snacks, the division adheres to its mission — <i>Feeding the Hungry and Promoting Healthy Lifestyles.</i><p>

<i><b>For more information on these programs, please visit us at <a href=http://www.SquareMeals.org target="_blank">SquareMeals.org</a>.</b></i><p>

Tags: food-service-management-company, fsmc, meal-vendor, school-nutrition
Organization: City of Austin
School Nutrition Programs - Procurement Review with Findings- Program Year 2022 - 2023

<b>About the Dataset</b><br>
This dataset contains: <b>
A list of School Food Authorities (SFAs) that had findings as a result of their most recent Procurement Review with TDA, including: </b>
<li>List of findings </li>
<li>Type of Findings </li>
<li>Corresponding administrative review question </li>
This report can be found on SquareMeals <a href="https://www.squaremeals.org/Programs/National-School-Lunch-Program/Compliance">Compliance for NSLP </a> for the current program year and will be posted to ODP within three months after the end of the program year.

Organization: City of Austin
School Nutrition Programs - Procurement Review with Findings- Program Year 2023 - 2024

<b>About the Dataset</b><br>
This dataset contains: <b>
A list of School Food Authorities (SFAs) that had findings as a result of their most recent Procurement Review with TDA, including: </b>
<li>List of findings </li>
<li>Type of Findings </li>
<li>Corresponding administrative review question </li>
This report can be found on SquareMeals <a href="https://www.squaremeals.org/Programs/National-School-Lunch-Program/Compliance">Compliance for NSLP </a> for the current program year and will be posted to ODP within three months after the end of the program year.

Organization: City of Austin
School Nutrition Programs - Contact Information and Site-Level Program Participation - Program Year 2023-2024

<b><a href=https://form.jotform.com/210556567409057 target="_blank">Help us provide the most useful data by completing our ODP User Feedback Survey for School Nutrition Data</a></b><p>

<b>About the Dataset</b><br>
This dataset contains <b>contact information and program participation information for all School Nutrition Program (SNP) meal sites approved by TDA to operate during the 2023-2024 program year.</b>  Contracting Entities (CE) or sites they sponsor may cancel or terminate participation after initial approval.  The school nutrition program year begins July 1 and ends June 30.<p>

An overview of <b>all SNP data available</b> on the Texas Open Data Portal can be found at our <b><a href=https://data.texas.gov/stories/s/e2dm-5r4v target="_blank">TDA Data Overview - School Nutrition Programs</a></b> page.<p>

An overview of <b>all TDA Food and Nutrition data available</b> on the Texas Open Data Portal can be found at our <b><a href=https://data.texas.gov/stories/s/TDA-Data-Overview-Food-and-Nutrition-Programs-Open/nk79-w2cs/ target="_blank">TDA Data Overview - Food and Nutrition Open Data</a></b> page. <p>

<b>More information about accessing and working with TDA data on the Texas Open Data Portal</b> can be found on the SquareMeals.org website on the <b><a href=http://squaremeals.org/FandNResources/PublicInformationRequests.aspx target="_blank">TDA Food and Nutrition Open Data</a> </b>page.<p>

<hr>
<b>About Dataset Updates</b><br>
TDA aims to post new program year data by September 1 of the active program year. Data is scheduled to update daily until approximately 90 days after the close of the program year. After 90 days from the close of the program year, this dataset will remain published but will no longer be updated.<p>


<b>About the Agency</b><br>
The Texas Department of Agriculture administers 12 U.S. Department of Agriculture nutrition programs in Texas including the National School Lunch and School Breakfast Programs, the Child and Adult Care Food Program (CACFP), and summer meal programs. TDA’s Food and Nutrition division provides technical assistance and training resources to partners operating the programs and oversees the USDA reimbursements they receive to cover part of the cost associated with serving food in their facilities. By working to ensure these partners serve nutritious meals and snacks, the division adheres to its mission — <i>Feeding the Hungry and Promoting Healthy Lifestyles.</i><p>

<b>For more information on these programs, please visit us at <a href=http://www.SquareMeals.org target="_blank">SquareMeals.org</a>.</b><br>

Tags: cep, charter, child, child-nutrition-director, cnd, community-eligibility-provision, federal-funds, ffvp, fresh-fruit-and-vegetable-program, identified-student-percent, isp, meal, meal-pricing, national-school-lunch-program, nslp, private-school, provision-2, public-school, rcci, residential-child-care-institution, sbp, school-breakfast-program, school-district, severe-need-breakfast, smp, snp, superintendent, universal-breakfast, usda
Organization: City of Austin
Lidar-derived elevation data for Blackerby parcel, Juneau, southeast Alaska, collected July 12, 2023

Lidar-derived elevation data for Blackerby parcel, Juneau, southeast Alaska, collected July 12, 2023, Raw Data File 2024-8 releases classified point cloud derived from aerial lidar, along with a digital surface model (DSM), a digital terrain model (DTM), and an intensity model of slopes above the Blackerby Parcel in Juneau, Southeast Alaska, during leaf-on conditions. The survey provides snow-free surface elevations for use in landslide hazard assessment, geologic mapping, and slope-stability analysis. Ground control data provided by the Alaska Department of Transportation (DOT) was collected on March 21, 2017. DGGS collected aerial lidar data on July 12, 2023, and subsequently merged and processed using a suite of geospatial processing software. This collection is available as a Raw Data File under an open end-user license. All files can be downloaded from the Alaska Division of Geological & Geophysical Surveys website (http://doi.org/10.14509/31161).

Tags: aerial, aerial geology, coastal, coastal and river, dggs, digital elevation model, digital surface model (dsm), digital terrain model, elevation, emergency preparedness, engineering, engineering geology, environmental, gastineau channel, geologic, geologic hazards, geological process, geology, geomorphology, geotechnical, hazards, holocene, juneau, landslide, landslide susceptibility, lemon creek, lidar, lidar intensity image, lidar las file format, point cloud data, raster image, remote sensing, salmon creek, slope, slope instability, southeast alaska, surface, surficial, surficial geology, topography, unconsolidated deposits, vanderbilt hill
Organization: State of Alaska