AndreaBozzo/ceres-open-data-index huggingface dataset:
Summer Meal Programs - Seamless Summer Option (SSO) – Meal Reimbursement - Program Year 2024

<b><a href=https://form.jotform.com/212795081587163 target="_blank">Help us provide the most useful data by completing our ODP User Feedback Survey for Summer Meal Programs Data</a></b><p>

<b>About the Dataset</b><br>
This dataset contains  <b>CE-level meal reimbursement from approved TDA claims for Seamless Summer Option (SSO) participants in summer 2024.</b> Summer meal programs typically operate mid-May through August unless otherwise noted. Participants have 60 days from the final meal service day of the month to submit claims to TDA.<p>

Site-level meals served data can be viewed on the Meal Counts datasets found on the Summer Meal Program Data Overview page. <p> 

For reimbursement data on CEs participating in the Summer Food Service Program (SFSP), please refer to the Summer Meal Programs – Summer Meal Programs -Summer Food Service Program (SFSP) Meal Reimbursement datasets available on the State of Texas Open Data Portal. 
<p>

An overview of <b>all Summer Meal Program data available</b> on the Texas Open Data Portal can be found at our <b><u><a href=https://data.texas.gov/stories/s/52en-tt82 target=""_blank"">TDA Data Overview - Summer Meals Programs</a></b> </u>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><u><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></u> page. <p>

<b>About Dataset Updates</b><br>

TDA aims to post new program year data by July 15 of the active program period. <b>Participants have 60 days to submit claims.</b> Data updates will occur daily 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 Programs (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>

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

Organization: City of Austin
Monthly Child Care Services Data Report - Children Served by County 2024 Q2

The Monthly Child Care Services Data Report - Children Served by County data set includes demographic data of children receiving Child Care and Development Fund (CCDF) assistance. The Administration for Children and Families (ACF) Office of Child Care (OCC) collects data regarding the children and families served through the Child Care and Development Fund (CCDF) as well as the types of child care settings and facilities providing services. Each quarterly data set contains data aggregated by county for each month of the quarter. Counts less than 5 are masked with an asterisk (*) to protect the confidentiality of individuals in this report.

Organization: City of Austin
Global Non-Floodplain Wetlands Asia

This raster GIS dataset contains 30 meter cells depicting non-floodplain wetlands in a hydrobasin. This base dataset is a combination of three globally-available datasets, creating a new dataset that is inclusive of finer-resolution data, while accounting for a wide range of wetland sizes. 
The three source datasets are:
 1) CW-WTD 500-m dataset resampled to 30 m. – Wetland dataset built from a composite wetland-water table depth (Tootchi 2019); 
 2) CCI (Climate Change Initiative) data resampled from 300 m to 30 m – CCI defined wetlands as “…mixed classes of flooded areas with tree covers, shrubs, or herbaceous covers plus inland water bodies;” and
 3) Global Surface Water (GSW)  30-m (Pekel et al. 2016) – A pixel was considered a wetland if it had at least one inundation event over a 32-year range.

A 1-km buffer was applied to the HydroBASINS (Lehner and Grill 2013) coastline area and any wetland partially or completely overlain by the 1-km buffer was removed from analysis. In addition, to avoid including large lakes in  the data, we also applied a mask using HydroLAKES and removed lake systems ≥10 ha (Messager et al. 2016).

The dataset was then overlain by the GFPlain90 floodplain data (resampled to 30 meters) and wetlands overlain by the floodplain were removed.



Tags: 020:096, 020:121, asia, biogeochemical processing, downloadable data, drought mitigation, geographically isolated wetland, global, hydrobasin, non-floodplain, watershed, wetland habitat, wetland mapping, wetlands
Organization: U.S. Environmental Protection Agency
Modeled change in the average Feddema Moisture Index (multiplied by 1000) between the modeled 2041-2070 period (CanESM2 r5i1p1 model) and the 1971-2000 Normal period.

Originators: US Environmental Protection Agency Publisher: US EPA Office of Research &amp; Development (ORD) - National Health and Environmental Effects Research Laboratory (NHEERL) Publication place: Corvallis, OR Publication date: Time Period of Data: 1900-2010; Projected data for 2041-2070. Data location: GeoPlatform ("https://www.geoplatform.gov/") and EPA Environmental Dataset Gateway (https://edg.epa.gov/). Abstract: We apply the hydrologic landscapes (HL) concept to assess the hydrologic vulnerability of the western United States (U.S.) to projected climate conditions. Our goal is to understand the potential impacts for stakeholder-defined interests across large geographic areas. The basic assumption of the HL approach is that catchments that share similar physical and climatic characteristics are expected to have similar hydrologic characteristics. We map climate vulnerability by integrating the HL approach into a retrospective analysis of historical data to assess variability in future climate projections and hydrology, which includes temperature, precipitation, potential evapotranspiration, snow accumulation, climatic moisture, surplus water, and seasonality of water surplus. Projections that are not within two-standard deviations of the historical decadal average contribute to the vulnerability index for each metric. The resulting vulnerability maps show that temperature and potential evapotranspiration are consistently projected to have high vulnerability indices for the western U.S. Precipitation vulnerability is not as spatially-uniform as temperature. The highest elevation areas with snow are projected to experience significant changes in snow accumulation. The seasonality vulnerability map shows that specific mountainous areas in the West are most prone to changes in seasonality, whereas many transitional terrains are moderately susceptible. This paper illustrates how the HL approach can help assess climatic and hydrologic vulnerability across large spatial scales. By combining the HL concept and climate vulnerability analyses, we provide a planning approach that could allow resource managers to consider how future climate conditions may impact important economic and conservation resources. Purpose: These data were created in support of the US EPA’s ACE CIVA 2.3, Task Project (QAPP: E-WED-0030854). However, these climate data and hydrologic landscape summaries should have broad applicability for hydrological, geomorphic, or ecological modeling, management, and restoration. This raster contains the modeled change in the average Feddema Moisture Index between the 2041-2070 modeled data (specified in the title) relative to the 1971-2000 Normal period.

Tags: 020:094, arizona, california, climate, downloadable data, environment, ground water, idaho, natural resources, nevada, oregon, washington, water
Organization: U.S. Environmental Protection Agency
Boundary Waters Canoe Area (Minnesota) sewage no-discharge zone, 1977, EPA HQ OWOW

This geospatial dataset depicts a sewage no-discharge zone established under Clean Water Act Section 312. The area(s) depicted are zones where the discharge of any sewage, treated or untreated, from vessels is prohibited. This layer was created using information from the corresponding Federal Register notice and is created for informational purposes, not to be used for enforcement.

Tags: 020:078, downloadable data, environment, marine, minnesota, water
Organization: U.S. Environmental Protection Agency
Sustainable Materials Management (SMM) Food Recovery Challenge (FRC) Data

As part of EPA's Food Recovery Challenge (FRC), organizations pledge to improve their sustainable food management practices and report their results. The FRC is part of EPA's Sustainable Materials Management Program (SMM). SMM seeks to reduce the environmental impact of materials through their entire life cycle. This includes how they are extracted, manufactured, distributed, used, reused, recycled, and disposed. Organizations are encouraged to follow the Food Recovery Hierarchy (https://www.epa.gov/sustainable-management-food/food-recovery-hierarchy) to prioritize their actions to prevent and divert wasted food.  Each tier of the Food Recovery Hierarchy focuses on different management strategies for your wasted food. The program started in 2011 and the first data were made available in 2012. The FRC is part of EPA's larger SMM program (https://www.epa.gov/smm).  Sustainable Materials Management (SMM) is a systemic approach to using and reusing materials more productively over their entire lifecycles. It represents a change in how our society thinks about the use of natural resources and environmental protection. By looking at a product's entire lifecycle we can find new opportunities to reduce environmental impacts, conserve resources, and reduce costs. There are multiple challenge programs available as part of the SMM program, including the Food Recovery Challenge, the Electronics Challenge, the Federal Green Challenge, and the WasteWise program.  			
				

Tags: environment, food, food recovery, landfill, office of land and emergency management (olem), purchasing, recovery, resource conservation, sustainability, united states, waste, waste disposal
Organization: U.S. Environmental Protection Agency
GFPLAIN90_NorthAmerica

All floodplains were derived using modified scripts from GFPLAIN v1.0 (https://github.com/fnardi/GFPLAIN).    This data was created by modifying the scripts to work with 90-m data.
Global FloodPLAIN (GFPLAIN) mapping uses a geomorphic algorithm. Geomorphic FloodPLAIN mapping algorithm GFPLAIN is based on Nardi et al. (2006, 2018).  
The data is available at the hydrobasin 4 level.  HydroBASINS data provides a series of polygon layers that depict watershed boundaries and sub-basin delineations at a global scale (http://www.hydrosheds.org).   

Tags: 020:096, 020:121, drought mitigation, flood-hazard, floodplain, floodplains, global, hydrobasin, non-floodplain, north america, wetland habitat, wetland mapping
Organization: U.S. Environmental Protection Agency
Physiological Parameters Database for Older Adults

The Physiological Parameters Database for Older Adults is available for download and contains physiological parameters values for healthy older human adults (age 60 and older), as well as data for some individuals with adverse health conditions that may relate to environmental exposure.  The information in this database was collected from review of peer-review published papers.

Tags: datafinder, environment, human health, life stages & populations, seniors' health, united states
Organization: U.S. Environmental Protection Agency
Modeled change in the Seasonality between the modeled 2041-2070 (CCSM4 r4i1p1) and the 1971-2000 Normal period

Originators: US Environmental Protection Agency Publisher: US EPA Office of Research & Development (ORD) - National Health and Environmental Effects Research Laboratory (NHEERL) Publication place: Corvallis, OR Publication date: Time Period of Data: 1900-2010; Projected data for 2041-2070. Data location: GeoPlatform ("https://www.geoplatform.gov/") and EPA Environmental Dataset Gateway (https://edg.epa.gov/). Abstract: We apply the hydrologic landscapes (HL) concept to assess the hydrologic vulnerability of the western United States (U.S.) to projected climate conditions. Our goal is to understand the potential impacts for stakeholder-defined interests across large geographic areas. The basic assumption of the HL approach is that catchments that share similar physical and climatic characteristics are expected to have similar hydrologic characteristics. We map climate vulnerability by integrating the HL approach into a retrospective analysis of historical data to assess variability in future climate projections and hydrology, which includes temperature, precipitation, potential evapotranspiration, snow accumulation, climatic moisture, surplus water, and seasonality of water surplus. Projections that are not within two-standard deviations of the historical decadal average contribute to the vulnerability index for each metric. The resulting vulnerability maps show that temperature and potential evapotranspiration are consistently projected to have high vulnerability indices for the western U.S. Precipitation vulnerability is not as spatially-uniform as temperature. The highest elevation areas with snow are projected to experience significant changes in snow accumulation. The seasonality vulnerability map shows that specific mountainous areas in the West are most prone to changes in seasonality, whereas many transitional terrains are moderately susceptible. This paper illustrates how the HL approach can help assess climatic and hydrologic vulnerability across large spatial scales. By combining the HL concept and climate vulnerability analyses, we provide a planning approach that could allow resource managers to consider how future climate conditions may impact important economic and conservation resources. Purpose: These data were created in support of the US EPA’s ACE CIVA 2.3, Task Project (QAPP: E-WED-0030854). However, these climate data and hydrologic landscape summaries should have broad applicability for hydrological, geomorphic, or ecological modeling, management, and restoration.  This raster contains the modeled change in the seasonality of the month of maximum surplus precipitation between the target modeled time period (in title) and the 1971-2000 Normal period (1 = same season, 0 = earlier season, 2 = later season).

Tags: 020:094, 1900 -2010, 2041-2070, climate, downloadable data, environment, united states, water
Organization: U.S. Environmental Protection Agency
Air Emissions/IGD: EF_ICIS_AIR

EF_ICIS_AIR is a subset of facilities from FRS_PROGRAM_FACILITY and associated best-available geospatial coordinates. Facility Registry Service (FRS) data are refreshed daily. The layer shows only points from the 'ICIS-AIR' (Integrated Compliance Information System for Air) program. The program query is 'AIR'. The ICIS-AIR subset is updated weekly.

Tags: 020:045, air, alabama, alaska, american samoa, arizona, arkansas, california, colorado, connecticut, delaware, environment, exposure, facilities, florida, georgia, hawaii, hazards, health, human, idaho, illinois, indiana, iowa, kansas, kentucky, louisiana, maine, maryland, massachusetts, michigan, minnesota, mississippi, missouri, monitoring, montana, nebraska, nevada, new hampshire, new jersey, new mexico, new york, north carolina, north dakota, ohio, oklahoma, oregon, pennsylvania, puerto rico, quality, regulatory, rhode island, sites, south carolina, south dakota, tennessee, texas, toxics, united states, utah, vermont, virgin islands, virginia, washington, washington dc, west virginia, wisconsin, wyoming
Organization: U.S. Environmental Protection Agency
Total Marsh at Lower Maurice, NJ, Lower Delaware Bay, Intermediate Sea Level Rise Scenario, “Protect Developed Dry Land” model protection scenario, EPA ORD NCEA

This raster GIS dataset contains 5-meter-resolution cells depicting the areas of total marsh gain (value=1), lost (value=-1) and remaining (no change; value=0). Total marsh (TM) was defined as the sum of low marsh and high marsh [SLAMM category 8 + SLAMM category 7 + SLAMM category 20]. Based on SLAMM simulation outputs, we generated the gain and loss map by using the “Raster Calculator” tool under “Spatial Analyst Tools” in ArcGIS software. The methodology consists of the three steps listed below (where we use low marsh [LM] as an example). The same process can be applied to other SLAMM land cover categories. 

1) Open ArcMap, add SLAMM simulation raster outputs (all SLAMM categories) for baseline year and future years. 

2) In Raster Calculator, set the SLAMM codeequal to8 (low marsh = SLAMM category 8) to generate a new raster. Each individual cell in the new raster is assigned a value of “0” or “1”. “1” is low marsh and “0” is any other SLAMM land cover category. Perform this step for both the baseline year and future year. 

3) In Raster Calculator, subtract the new raster for the baseline year from the new raster for the future year (formula = new future year raster - new baseline year raster). The calculation generates a new raster, in which each individual cell is assigned a value of “-1”, “0”, or “1”. Based on the calculation, “-1” means low marsh loss in the future (the cell has converted from low marsh to a different SLAMM category), “0” means low marsh is remaining (the cell stays the same), and “1” means low marsh gain in the future (the cell has converted from a different SLAMM category to low marsh). 

Prior SLAMM work has been performed in the Delaware Bay, but our methods differ in that we derive results for specific marsh areas and utilize more recent, gain (value=1), lost (value=-1) and remaining (no change; value=0) These SLAMM simulations were performed as part of a larger project by the USEPA on frameworks and methods for characterizing relative wetland vulnerabilities.

Note: additional raster files from this project are available upon request. These include files from low and high SLR scenarios and different model protection scenarios. For more information, contact Jordan West (West.Jordan@epa.gov).

Tags: 020:094, coastal wetland, delaware, downloadable data, ecosystem, environment, estuary, exposure, modeling, natural resources, new jersey, relative vulnerability, sea level rise, united states
Organization: U.S. Environmental Protection Agency
Chemical Data Release (CDR) Consumer Uses, 2012

This layer displays points of consumer uses extracted from the 2012 Chemical Data Reporting (CDR) database. The CDR database contains comprehensive use and exposure information on the most widely used chemicals in the United States. This layer is drawn at all scales and was procured for EPA through the Office of Pollution Prevention and Toxics (OPPT).

Tags: alabama, alaska, arizona, arkansas, california, colorado, connecticut, contaminant, delaware, exposure, facilities, florida, georgia, hawaii, health, human, idaho, illinois, impact, indiana, iowa, kansas, kentucky, louisiana, maine, maryland, massachusetts, michigan, minnesota, mississippi, missouri, montana, nebraska, nevada, new hampshire, new jersey, new mexico, new york, north carolina, north dakota, ohio, oklahoma, oregon, pennsylvania, pesticides, rhode island, risk, sites, south carolina, south dakota, tennessee, texas, toxics, united states, utah, vermont, virginia, washington, washington dc, west virginia, wisconsin, wyoming
Organization: U.S. Environmental Protection Agency
Sites Pre-Screened for Biomass and Biofuel Potential

The RE-Powering Screening Dataset spreadsheet contains detailed information on over 130,000 contaminated lands, landfills, and mine sites with screening results for renewable energy potential. Please review the Data Documentation for Mapping and Screening for more details regarding the information contained in this file.The RE-Powering Mapper and associated documents are provided solely as general information on screening potential. It does not address all information, factors, or considerations that may be relevant in a particular situation. Results do not reflect an endorsement or recommendation for development potential by EPA. References to third-party publications, websites, commercial products, process, or services by trade name, trademark, manufacturer, or otherwise, are for informational purposes only. No endorsement or recommendation should be inferred and is not implied. EPA, NREL and the United States Government do not endorse any non-federal product, services or enterprise. 

Tags: 020:006, 020:088, 020:109, cleanup, climate, contaminant, downloadable data, energy, environment, remediation, sites, toxics, united states, waste
Organization: U.S. Environmental Protection Agency
Superfund/IGD: EF_NPL

EF_NPL is a subset of facilities from FRS_PROGRAM_FACILITY and associated best-available geospatial coordinates. Facility Registry Service (FRS) data are refreshed daily. The layer shows only NPL (National Priority List) points from the SEMS (Superfund Enterprise Management System) database. The NPL subset is updated weekly.

Tags: 020:106, alabama, alaska, american samoa, arizona, arkansas, california, cleanup, colorado, compliance, connecticut, contaminant, delaware, drinking water, environment, exposure, facilities, florida, georgia, ground water, hawaii, hazards, health, human, idaho, illinois, indiana, iowa, kansas, kentucky, louisiana, maine, maryland, massachusetts, michigan, minnesota, mississippi, missouri, montana, nebraska, nevada, new hampshire, new jersey, new mexico, new york, north carolina, north dakota, ohio, oklahoma, oregon, pennsylvania, puerto rico, quality, regulatory, remediation, rhode island, sites, south carolina, south dakota, spills, tennessee, texas, toxics, united states, utah, vermont, virgin islands, virginia, washington, washington dc, waste, west virginia, wisconsin, wyoming
Organization: U.S. Environmental Protection Agency
Boothbay Harbor (Maine) sewage no-discharge zone, 2009, EPA HQ OWOW

This dataset details No Discharge Zones (NDZ) for Boothbay Harbor, ME. Boaters may not discharge waste into these areas. Boundaries were determined mostly by Federal Register Environmental Documents in coordination with EPA Region 1 Office of Ecosystem Protection (OEP) staff.

Tags: 020:078, downloadable data, marine, new hampshire, water
Organization: U.S. Environmental Protection Agency
EPA Grants (2013 - present)

EPA's management information system for grants programs is the Integrated Grants Management System (IGMS), which awards, administers, and monitors grants. Grants are regularly awarded to Federal, State, or local government agencies, universities, and other institutions that support EPA's environmental programs. Specific types of agreements include assistance agreements, grants, cooperative agreements, interagency agreements, and other types of program support agreements administered by Headquarters or EPA regions. This dataset contains point locations for grants given out by the USEPA.

Tags: grants, united states
Organization: U.S. Environmental Protection Agency