AndreaBozzo/ceres-open-data-index huggingface dataset:
EnviroAtlas - Landcover Summaries by Block Group for Guam

This EnviroAtlas dataset represents the percentage of land area within each census block group in Guam that is classified as Canopy, Impervious Surface, and Vegetation using the 2022 NOAA Coastal Change Analysis Program (C-CAP) dataset. It also includes calculations of these landcover classes per capita (square meters per person) by block group based on 2020 United States Census data. Finally, ratios of canopy to impervious surface and vegetation to impervious surface were calculated by block group. Vegetation includes canopy and scrub/shrub landcover classes but does not include other types of green space. 
		
		Datasets for other geographies were produced separately; metadata for these related datasets may be found here:
		American Samoa https://enviroatlas.epa.gov/enviroatlas/MetadataFGDC/CanopyVegetationImpervious_AS_bg.xml,
		Northern Mariana Islands https://enviroatlas.epa.gov/enviroatlas/MetadataFGDC/CanopyVegetationImpervious_CNMI_bg.xml.
		
		This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

Tags: 020:072, census block groups, downloadable data, ecosystem, ecosystem services, enviroatlas, environment, environmental atlas, green space, guam, land cover, united states, united states pacific territories
Organization: U.S. Environmental Protection Agency
NEXGDDP_CMIP6_OCONUS

This EnviroAtlas dataset contains projected change in 30-year normals in maximum temperature, minimum temperature, evapotranspiration, and precipitation, for Alaska, Hawaii, Puerto Rico, the U.S. Virgin Islands, American Samoa, Guam and Commonwealth of the Northern Mariana Islands. This dataset was created using the NASA Earth Exchange-Global Daily Downscaled Projections (NEX-GDDP), developed using Global Climate Models (GCMs) runs conducted under the Coupled Model Intercomparison Project Phase 6 (CMIP6) across four scenarios, known as Shared Socioeconomic Pathways (SSPs). The four SSPs involved in this project are SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5.  The raw NEX-GDDP-CMIP6 data has a spatial resolution of 0.25 degrees and a daily temporal resolution. 

The NEX-GDDP-CMIP6 data was processed to calculate projected changes in six climatic variables for each season (fall, spring, summer, winter) and annually for five 30-year periods: 

recent history  (1976-2005) to near-term future (2025-2054) 
recent history  (1976-2005) to mid-century (2045-2074)
recent history  (1976-2005) to end-of-century (2070-2099)
near-term future (2025-2054) to mid-century (2045 to 2074)
near-term future (2025-2054) to end-of-century (2070 to 2099)
The six climatic variables included in the dataset are change in: 

total precipitation [in and fraction]
total potential evapotranspiration [in and fraction]
maximum temperature [degF], and minimum temperature [degF]. 
This data was then used to produce an NEX-GDDP-CMIP6 ensemble median for each variable for each HUC12. Not all GCMs downscaled in NEX-GDDP-CMIP6 had availability for every variable and scenario combination. Due to low historical values in precipitation and potential evapotranspiration, the data for Alaska is not available in fraction unit. 

This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States.

EnviroAtlas includes a user-friendly interactive map for data discovery, https://enviroatlas.epa.gov/enviroatlas/interactivemap.

Tags: alaska, climate, climate-change, hawaii, maps, resilience, u-s-territories
Organization: U.S. Environmental Protection Agency
National Sexual Violence Resource Center (NSVRC)

<p>The National Sexual Violence Resource Center (NSVRC) is a national information and resource hub relating to all aspects of sexual violence.</p>
<p>NSVRC staff collect and disseminate a wide range of resources on sexual violence including statistics, research, position statements, statutes, training curricula, prevention initiatives and program information. With these resources, NSVRC assists coalitions, advocates and others interested in understanding and eliminating sexual violence. NSVRC has an active and diverse Advisory Council that assists and advises staff and ensures a broad national perspective. NSVRC also enjoys a strong partnership with state, territory and tribal anti-sexual assault coalitions and allied organizations.</p>
<p>NSVRC is funded through a cooperative agreement from the Centers for Disease Control and Prevention (CDC) Division of Violence Prevention.</p>

Tags: abuse, curricula, health-care-providers, prevention, publications, resource-center, safety, sexual-assault, treatments, violence, women
Organization: U.S. Department of Health & Human Services
National Child Abuse and Neglect Data System (NCANDS) Child File: Link to child file dataset for eligible members of the research community

<p>The National Child Abuse and Neglect Data System (NCANDS) Child File data set consists of child-specific data of all reports of maltreatment to State child protective service agencies that received an investigation or assessment response. NCANDS is a Federally-sponsored national data collection effort created for the purpose of tracking the volume and nature of child maltreatment reporting each year within the United States. The Child File is the case-level component of the NCANDS. Child File data are collected annually through the voluntary participation of States. Participating States submit their data after going through a process in which the State's administrative system is mapped to the NCANDS data structure.  Data elements include the demographics of children and their perpetrators, types of maltreatment, investigation or assessment dispositions, risk factors, and services provided as a result of the investigation or assessment.</p>

Tags: child-abuse, child-maltreatment, child-safety, children, childrens-health, safety
Organization: U.S. Department of Health & Human Services
Long-Term Care Calculator: Compare Costs, Types of Service in Your Area

<p>This report estimates the economic value of family caregiving at $450 billion in 2009 based on 42.1 million caregivers age 18 or older providing an average of 18.4 hours of care per week to care recipients age 18 or older, at an average value of $11.16 per hour.</p>
<p><strong><em>This data is not collected by a government agency.  The findings and conclusions in this report are those of the author and do not necessarily represent the views of the Department of Health &amp; Human Services.</em></strong></p>

Tags: caregiver, caregiving, economic-value, eldercare, elderly, healthcare, seniors
Organization: U.S. Department of Health & Human Services
Find Shortage Areas: HPSAs Eligible for the Medicare Physician Bonus Payment

<p>The HPSAs Eligible for the Medicare Physician Bonus Payment advisor tools allows the user (physician) to determine if an address is eligible for bonus payments. Medicare makes bonus payments to physicians who provide medical care services in geographic areas that are HRSA-designated as primary medical care Health Professional Shortage Areas (HPSAs) and to psychiatrists who provide services in HRSA-designated mental health HPSAs.</p>
<p>The search results indicate if the address is in a Primary Care HPSA or Mental Health HPSA, along with state, county name, Census Tract, zip code, and a map identifying the address.</p>

Tags: census-tract-number, community-health, county-subdivision, elderly, federally-qualified-health-center, find-shortage-area, health-care-providers, health-professional-shortage-area, hpsa, medicare, medicare-physician-bonus-payment, mental-health-hpsa, poverty, primary-care-hpsa
Organization: U.S. Department of Health & Human Services
RadLex

<p>RadLex is a controlled terminology for radiology and serves as a single unified source of radiology terms for radiology practice, education, and research. RadLex is a comprehensive lexicon for standardized indexing and retrieval of radiology information resources. With more than 30,000 terms, RadLex satisfies the needs of software developers, system vendors and radiology users by adopting the best features of existing terminology systems while producing new terms to fill critical gaps. RadLex also provides a comprehensive and technology-friendly replacement for the ACR Index for Radiological Diagnoses. It unifies and supplements other lexicons and standards, such as SNOMED-CT, LOINC, and DICOM. As images, image reports, and medical records continue to move online RadLex meets the need of physicians to organize and retrieve image data using a common set of terms.&#13;<br />
&#13;<br />
RadReport is a radiology reporting initiative that is a part of RadLex. RadReport aims to improve reporting practices by creating a library of clear and consistent report templates.  Report templates and information about RadReport is available at the link in Resource 2.&#13;<br />
&#13;</p>

Tags: biomedical-research, health-informatics, health-it, imaging, radiology
Organization: U.S. Department of Health & Human Services
EnviroAtlas - Landcover Summaries by Place for the Northern Mariana Islands

This EnviroAtlas dataset represents the percentage of land area within each census place in the Commonwealth of the Northern Mariana Islands (CNMI) that is classified as Canopy, Impervious Surface, and Vegetation using the 2022 NOAA Coastal Change Analysis Program (C-CAP) dataset. It also includes calculations of these landcover classes per capita (square meters per person) by place based on 2020 United States Census data. Finally, ratios of canopy to impervious surface and vegetation to impervious surface were calculated by place. Vegetation includes canopy and scrub/shrub classes, but does not include other types of green space.  
		
		Datasets for other geographies were produced separately; metadata for these related datasets may be found here: 
		American Samoa https://enviroatlas.epa.gov/enviroatlas/MetadataFGDC/CanopyVegetationImpervious_AS_place.xml, 
		Guam https://enviroatlas.epa.gov/enviroatlas/MetadataFGDC/CanopyVegetationImpervious_GU_place.xml.
		
		This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

Tags: 020:072, cnmi, commonwealth of the northern mariana islands, ecosystem, ecosystem services, enviroatlas, environment, environmental atlas, green space, land cover, united states, united states pacific territories
Organization: U.S. Environmental Protection Agency
EnviroAtlas - Landcover Summaries by Block Group for American Samoa

This EnviroAtlas dataset represents the percentage of land area within each census block group in American Samoa that is classified as Canopy, Impervious Surface, and Vegetation using the 2022 NOAA Coastal Change Analysis Program (C-CAP) dataset. It also includes calculations of these landcover classes per capita (square meters per person) by block group based on 2020 United States Census data. Finally, ratios of canopy to impervious surface and vegetation to impervious surface were calculated by block group. Vegetation includes canopy and scrub/shrub landcover classes but does not include other types of green space. 
		
		Datasets for other geographies were produced separately; metadata for these related datasets may be found here: 
		Guam  https://enviroatlas.epa.gov/enviroatlas/MetadataFGDC/CanopyVegetationImpervious_GU_bg.xml,
		Northern Mariana Islands https://enviroatlas.epa.gov/enviroatlas/MetadataFGDC/CanopyVegetationImpervious_CNMI_bg.xml.
		
		This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

Tags: 020:072, american samoa, census block groups, downloadable data, ecosystem, ecosystem services, enviroatlas, environment, environmental atlas, green space, land cover, united states, united states pacific territories
Organization: U.S. Environmental Protection Agency
EnviroAtlas - Landcover Summaries by Place for American Samoa

This EnviroAtlas dataset represents the percentage of land area within each census place in American Samoa that is classified as Canopy, Impervious Surface, and Vegetation using the 2022 NOAA Coastal Change Analysis Program (C-CAP) dataset. It also includes calculations of these landcover classes per capita (square meters per person) by place based on 2020 United States Census data. Finally, ratios of canopy to impervious surface and vegetation to impervious surface were calculated by place. Vegetation includes canopy and scrub/shrub classes, but does not include other types of green space. 
		
		Datasets for other geographies were produced separately; metadata for these related datasets may be found here:
		Guam https://enviroatlas.epa.gov/enviroatlas/MetadataFGDC/CanopyVegetationImpervious_GU_place.xml,
		Northern Mariana Islands https://enviroatlas.epa.gov/enviroatlas/MetadataFGDC/CanopyVegetationImpervious_CNMI_place.xml.
		
		This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

Tags: 020:072, american samoa, ecosystem, ecosystem services, enviroatlas, environment, environmental atlas, green space, land cover, united states, united states pacific territories
Organization: U.S. Environmental Protection Agency
EnviroAtlas - Landcover Summaries by Block Group for the Northern Mariana Islands

This EnviroAtlas dataset represents the percentage of land area within each census block group in the Commonwealth of the Northern Mariana Islands (CNMI) that is classified as Canopy, Impervious Surface, and Vegetation using the 2022 NOAA Coastal Change Analysis Program (C-CAP) dataset. It also includes calculations of these landcover classes per capita (square meters per person) by block group based on 2020 United States Census data. Finally, ratios of canopy to impervious surface and vegetation to impervious surface were calculated by block group. Vegetation includes canopy and scrub/shrub landcover classes but does not include other types of green space. 
		
		Datasets for other geographies were produced separately; metadata for these related datasets may be found here:
		American Samoa https://enviroatlas.epa.gov/enviroatlas/MetadataFGDC/CanopyVegetationImpervious_AS_bg.xml, 
		Guam  https://enviroatlas.epa.gov/enviroatlas/MetadataFGDC/CanopyVegetationImpervious_GU_bg.xml.
		
		This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

Tags: 020:072, census block groups, cnmi, commonwealth of the northern mariana islands, downloadable data, ecosystem, ecosystem services, enviroatlas, environment, environmental atlas, green space, land cover, united states, united states pacific territories
Organization: U.S. Environmental Protection Agency
Tephra samples and analyses from the 2018-2023 eruption of Semisopochnoi Volcano, Alaska

Tephra samples and analyses from the 2018-2023 eruption of Semisopochnoi Volcano, Alaska, Raw Data File 2025-15, includes samples and analyses collected from the 2018-2023 eruption of Semisopochnoi volcano in the western Aleutian Islands, Alaska. Samples were collected during two field visits: May 30 to June 1, 2021, and June 10, 2023. A total of sixteen samples were collected across Semisopochnoi Island at varying distances from the eruption source, the north crater of Mount Young. Samples were collected from the surface on snow, grass, or other substrates that suggested deposition during recent eruptive activity but are, in all cases, aggregates of prior eruption events up to the sample date and may contain minor wind-blown contamination from older surfaces. These data and report are available from the DGGS website: http://doi.org/10.14509/31645 and a subset of the results are archived in the Geologic Database of Information on Volcanoes in Alaska (GeoDIVA; Cameron and others, 2022, doi.org/10.14509/geodiva).

Tags: active volcanoes, aeolian, aleutian arc, aleutian islands, analyses, analyses and sampling, analytical lab results, analytical results, ashfall, chemistry, coastal, coastal and river, dggs, geochemical data, geochemistry, geologic, geologic hazards, geological process, geology, grain size, hazards, igneous, lab methods, magmatic arc, major oxides, methods, microprobe analysis, minor oxides, pyroclastic fall, pyroclastics, sample location, semisopochnoi, semisopochnoi island, surface, tephra, volcanic, volcanic arc, volcanic ash, volcanic eruption, volcaniclastic deposits, volcaniclastics, volcanoes, volcanology
Organization: State of Alaska
Electron probe microanalyzer data collected on samples from the Chena and Steese projects, Yukon-Tanana Uplands, Alaska

Electron probe microanalyzer data collected on samples from the Chena and Steese projects, Yukon-Tanana Uplands, Alaska, Raw Data File 2025-13, provides electron probe microanalyzer (EPMA) geochemical data for individual mineral phases targeted in selected rock samples collected during the 2024 field season, along with one sample each from the 2023 and 1995 field seasons. EPMA is an analytical technique in which X-rays are excited by an electron beam. When introduced to an electron beam, each element produces X-rays with characteristic wavelengths. Therefore, EPMA allows for non-destructive quantitative analysis by comparing wavelength intensities of samples to those emitted from standards of known composition. The elements analyzed are presented as weight percent (wt.%) oxide (for most samples Na2O, MgO, Al2O3, SiO2, K2O, TiO2, CaO, FeO, and MnO; for ultramafic samples Cr2O3 instead of TiO2 and NiO instead of K2O). We do not report concentrations for elements present below detection limits-for example, TiO2, MgO, and MnO in plagioclase. The lithologies selected for electron microprobe analyses presented in this report include ultramafic, amphibolite, eclogite, schist, syenite, and paragneiss. The mineral phases analyzed from these samples include feldspar, amphibole, pyroxene, olivine, spinel, mica, garnet, epidote, chlorite, ilmenite, rutile, tourmaline, serpentine, and aluminosilicates. These data and report are available from the DGGS website: http://doi.org/10.14509/31537.

Tags: actinolite, albite, alder creek, amphibole, amphibolite, analyses, analytical lab results, analytical results, augite, bedrock, bedrock creek, bedrock geology, biotite, boulder creek, captain creek, chatanika, chatanika terrane, chemistry, chlorite, chromite, circle mining district, cleary creek, clinopyroxene, clinozoisite, cora creek, cottonwood creek, dggs, diopside, dome creek, dora creek, earth mri, economic geology, enstatite, epidote, exploration, fairbanks mining district, fortymile river assemblage, garnet, geochemical data, geochemical surveys, geochemistry, geologic, geology, gulch creek, hornblende, ilmenite, intrusive, k-feldspar, kyanite, lab methods, lake george assemblage, last chance creek, lost creek, lulu creek, magnetite, major oxides, metamorphic, metamorphic grade, metamorphic minerals, metamorphic rocks, metamorphism, methods, mineral resources, minerals, mining, munson creek, muscovite, newsboy mine, olivine, olympia creek, omphacite, paldo creek, paragonite, petrographic, petrology, plagioclase, quartz, resource assessment, resource information, resources, richardson mining district, rocks, rosa creek, ruby creek, rutile, salcha river, serpentine, serpentine creek, seventymile terrane, sheep creek, sillimanite, sorrels creek, spinel, titanite, tolovana mining district, tourmaline, tremolite, ultramafic, vault creek, williams creek, willow creek, yukon-tanana upland
Organization: State of Alaska
Tsunami Inundation Hazard Zone (Outdated, 2015)

<strong>Please see the updated </strong><u><a href="https://data.sfgov.org/Energy-and-Environment/Tsunami-Inundation-Hazard-Zone-2021-Update-/7p2k-c3z6/about_data">2021 Dataset</a></u>. </strong>

This dataset displays areas of the city vulnerable to damage from likely tsunami scenarios and displays what can be considered hazard zones of inundation. This data was created by SFDEM in 2015 based on data provided by the following agencies, and informs evacuation procedures: California Geological Survey and California Governor’s Office of Emergency Services. This was used for the 2019 HCR update process. However, this does not reflect the 2021 California Geological Survey, the California Governor's Office of Emergency Services, and AECOM update to the Tsunami Hazard zone. That can be found here:

Tags: geologic, hcr, tsunami
Organization: City of San Francisco