AndreaBozzo/ceres-open-data-index huggingface dataset:
US Public Use Microdata Areas - 2010

Public Use Microdata Areas (PUMAs) are decennial census areas that have been defined for the tabulation and dissemination of Public Use Microdata Sample (PUMS) data, American Community Survey (ACS), and ACS period estimates. For the 2010 Census, the State Data Centers (SDCs) in each state, the District of Columbia, and the Commonwealth of Puerto Rico were given the opportunity to delineate PUMAs within their state or statistically equivalent entity. All PUMAs must nest within states and have a minimum population threshold of 100,000 persons. 2010 PUMAs were built on census tracts, and cover the entirety of the United States, Puerto Rico, Guam and the U.S. Virgin Islands. Because they do not meet the minimum population requirement, the Commonwealth of the Northern Mariana Islands and American Samoa do not contain any 2010 PUMAs.
US Public Use Microdata Areas - 2000

Public Use Microdata Areas (PUMAs) are decennial census areas that have been defined for the tabulation and dissemination of Public Use Microdata Sample (PUMS) data, American Community Survey (ACS), and ACS period estimates. For the 2010 Census, the State Data Centers (SDCs) in each state, the District of Columbia, and the Commonwealth of Puerto Rico were given the opportunity to delineate PUMAs within their state or statistically equivalent entity. All PUMAs must nest within states and have a minimum population threshold of 100,000 persons. 2010 PUMAs were built on census tracts, and cover the entirety of the United States, Puerto Rico, Guam and the U.S. Virgin Islands. Because they do not meet the minimum population requirement, the Commonwealth of the Northern Mariana Islands and American Samoa do not contain any 2010 PUMAs.
USA ZIP Codes

This layer presents five-digit ZIP Code areas used by the U.S. Postal Service to deliver mail more effectively. The first digit of a five-digit ZIP Code divides the United States into 10 large groups of states numbered from 0 in the Northeast to 9 in the far West. Within these areas, each state is divided into an average of 10 smaller geographical areas, identified by the second and third digits. These digits, in conjunction with the first digit, represent a sectional center facility or a mail processing facility area. The fourth and fifth digits identify a post office, station, branch or local delivery area. It provides area, post office name, and population for each ZIP Code area in the United States.
Arizona Elementary School Districts - ACS 2018

This data comes from from the U.S. Census Bureau and has had selected attributes from the 2014-2018 American Community Survey (ACS) 5-Year Estimates attached. ACS data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate is represented through the use of a margin of error (MOE). In addition to sampling variability, the ACS estimates are subject to nonsampling error. The MOE and effect of nonsampling error is not represented in these tables. Supporting documentation on subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Data and Documentation section. Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section. The MOE for individual data elements can be found on American FactFinder. Note: Although the ACS produces population, demographic and housing unit estimates, the 2010 Census provides the official counts of the population and housing units for the nation, states, counties, cities and towns.
USFS Southwestern Region 3 - Aerial Photography 01

Historical Aerial Photography Archive Project (HAPAP) is a geodatabase that interfaces with a Map Viewer Search engine of all aerial photography projects completed in the Southwestern Region of the Forest Service. This database contains metadata on each project indicating the original project specifications and information on how to locate the associated rolls of film. The database consist of two feature classes and one table. ProjectAreas is a footprint polygon depicting the approximate area of each project. PhotoPoints is a point feature class that depicts the approximate location of the center of each photo where photo indexes are available. PhotoProjects is a tabular table that has project level information for each project. The three datasets link and relate to each other through a primary key of ProjectID. The Southwestern Regional Office (RO) photogrammetry program was initiated in the mid-1950’s and has collected thousands of aerial photographs of forest system lands for the region. The aerial photography supports projects that include mapping and surveying of administrative sites, campgrounds, recreational sites, infrastructure, timber sales, archeology, and forest resource inventory and monitoring. There are two types of aerial photography projects – 1) resource photography which is large extent, smaller scale and 2) photogrammetry projects – small extent large scale projects used for the mapping and surveying. A majority of the records are in hard copy format making it extremely difficult and time consuming for retrieval of records and historical data requested by forest service personnel and members of the public. The GIS/Photogrammetry group has identified existing databases of all aerial photography projects completed in the region and plans to convert these historical records and data into a GIS database system. This new database will allow forest service personnel to query the database, identify potential historical records of aerial photography and retrieve the records to be used in their field of work. All of the aerial photography that is acquired by agencies within the Department of Agriculture is archived at the Aerial Photography Field Office (APFO) of the Farm Service Agency (FSA). The FS is mandated to employ APFO for archival of the regions aerial photography and contracting of aerial photography acquisition projects. There are over 280,000 exposures of aerial photography that date back to 1956 which are associated with thousands of projects completed in the region. Due to the age and degradation of certain film rolls, the region is concerned of losing historical aerial photography of the region’s forest system lands.
USFS Southwestern Region 3 - Activities

This area feature class represents the locations of planned, accomplished and completed activity data that are recorded in the USFS Activities application FACTS. Only records with an activity are included. This data does not go into specifics of treatments (such as chemical treatments). It contains basic information like the activity subunit ID, administrative forest, ownership, state, planned date, accomplished date, completed date, method, equipment, funding, and many other items.
USFS Southwestern Region 3 - Ecological Response Units 01

Ecological Response Units (ERUs) facilitate landscape analyses and planning. The framework represents all major ecosystem types of the southwest region, and represents a stratification of biophysical themes. ERUs are used to define historic/reference conditions within a mapping unit by integrating site potential (soil physical and chemical properties, geology, geomorphology, aspect, slope, climate variables, and geographic location), fire regime (historic and contemporary), neighboring vegetation communities, and seral state sequence.
USFS Southwestern Region 3 - PLSS - Public Land Survey System

An area defined by the Public Lands Survey System grid that is referenced by its tier and range numbers, and is normally a rectangle approximately 6 miles on a side with boundaries conforming to meridians and parallels. This dataset is derived from the USFS Southwestern Region ALP (Automated Lands Program) data Project. This is one of fourteen layers derived from ALP for the purpose of supplying data layers for recourse GIS analysis and data needs within the Forest Service. The fourteen layers are Administrative Forest, Administrative Region, National Grassland, Ranger District, Military Reserve, Other National Designated Area, Proclaimed Forest, Section, Special Interest Management Area, Surface Ownership, Surface Ownership Dissolve, Township, Wilderness Status, and Wild Scenic River . There were some gapes in the ALP data so a small portion of this dataset comes from CCF (Cartographic Feature Files) datasets and the USFS Southwestern Region Core Data Project. ALP data is developed from data sources of differing accuracy, scales, and reliability. Where available it is developed from GCDB (Geographic Coordinate Data Base) data. GCDB data is maintained by the Bureau of Land Management in their State Offices. GCDB data is mostly corner data. Not all corners and not all boundaries are available in GCDB so ALP also utilizes many other data sources like CFF data to derive its boundaries. GCDB data is in a constant state of change because land corners are always getting resurveyed. The GCDB data used in this dataset represents a snapshot in time at the time the GCDB dataset was published by the BLM and may not reflect the most current GCDB dataset available. The Forest Service makes no expressed or implied warranty with respect to the character, function, or capabilities of these data. These data are intended to be used for planning and analyses purposes only and are not legally binding with regards to title or location of National Forest System lands.
USFS Southwestern Region 3 - Canopy Cover Map Units (Mid Scale Vegetation)

Existing vegetation (EV) is the floristic composition and vegetation structure occurring at a given location at the current time. This feature set depicts the existing vegetation of the forests and grasslands of the Southwestern Region at the mid-scale as four products - life form, dominance type map units, canopy cover map units, and size map units at the time the source satellite images were acquired. Multi-season satellite images (Landsat-5 and/or Landsat ETM+) along with ancillary and derived data sets (e.g., Digital Elevation Models and spectral indices) were used to model vegetation at the mid-scale level, suitable for presentation at a scale of approximately 1:100,000. The mapping process conformed to national guidelines developed by the Forest Service as defined in the Existing Vegetation Classification and Mapping Technical Guide Version 1.0 (USDA Forest Service Gen. Tech. Report WO-67). A combination of pixel- and object-based classifiers were used to attribute polygons with life form, dominance type, canopy cover class, and size class. Polygons with shared attributes were subsequently aggregated for each product to the map units presented here.
USFS Southwestern Region 3 - Dominance Type Map Units (Mid Scale Vegetation)

Existing vegetation (EV) is the floristic composition and vegetation structure occurring at a given location at the current time. This feature set depicts the existing vegetation of the forests and grasslands of the Southwestern Region at the mid-scale as four products - life form, dominance type map units, canopy cover map units, and size map units at the time the source satellite images were acquired. Multi-season satellite images (Landsat-5 and/or Landsat ETM+) along with ancillary and derived data sets (e.g., Digital Elevation Models and spectral indices) were used to model vegetation at the mid-scale level, suitable for presentation at a scale of approximately 1:100,000. The mapping process conformed to national guidelines developed by the Forest Service as defined in the Existing Vegetation Classification and Mapping Technical Guide Version 1.0 (USDA Forest Service Gen. Tech. Report WO-67). A combination of pixel- and object-based classifiers were used to attribute polygons with life form, dominance type, canopy cover class, and size class. Polygons with shared attributes were subsequently aggregated for each product to the map units presented here.
USFS Southwestern Region 3 - Life Form (Mid Scale Vegetation)

Existing vegetation (EV) is the floristic composition and vegetation structure occurring at a given location at the current time. This feature set depicts the existing vegetation of the forests and grasslands of the Southwestern Region at the mid-scale as four products - life form, dominance type map units, canopy cover map units, and size map units at the time the source satellite images were acquired. Multi-season satellite images (Landsat-5 and/or Landsat ETM+) along with ancillary and derived data sets (e.g., Digital Elevation Models and spectral indices) were used to model vegetation at the mid-scale level, suitable for presentation at a scale of approximately 1:100,000. The mapping process conformed to national guidelines developed by the Forest Service as defined in the Existing Vegetation Classification and Mapping Technical Guide Version 1.0 (USDA Forest Service Gen. Tech. Report WO-67). A combination of pixel- and object-based classifiers were used to attribute polygons with life form, dominance type, canopy cover class, and size class. Polygons with shared attributes were subsequently aggregated for each product to the map units presented here.
USFS Southwestern Region 3 - Size Map Units (Mid Scale Vegetation)

Existing vegetation (EV) is the floristic composition and vegetation structure occurring at a given location at the current time. This feature set depicts the existing vegetation of the forests and grasslands of the Southwestern Region at the mid-scale as four products - life form, dominance type map units, canopy cover map units, and size map units at the time the source satellite images were acquired. Multi-season satellite images (Landsat-5 and/or Landsat ETM+) along with ancillary and derived data sets (e.g., Digital Elevation Models and spectral indices) were used to model vegetation at the mid-scale level, suitable for presentation at a scale of approximately 1:100,000. The mapping process conformed to national guidelines developed by the Forest Service as defined in the Existing Vegetation Classification and Mapping Technical Guide Version 1.0 (USDA Forest Service Gen. Tech. Report WO-67). A combination of pixel- and object-based classifiers were used to attribute polygons with life form, dominance type, canopy cover class, and size class. Polygons with shared attributes were subsequently aggregated for each product to the map units presented here.
USFS Southwestern Region 3 - Riparian Vegetation Mapping

For this project canopy height and cover data were derived from lidar data found within the Prescott National Forest and used in mapping tree size. The lidar and other predictor variables from imagery were used to segment the study area into objects with similar characteristics for use in vegetation mapping. Vegetation mapping attributes were then added to each segment as classified by Random Decision Forest classifier. A 20 meter buffer from the RMAP boundary was created as a study area. Two final products are presented, this product that has been clipped to the RMAP boundary with map features designed to meet a minimum size of .25 hectares and a second that includes the 20 meter buffer and has no minimum map unit.
USFS Southwestern Region 3 - Riparian Potential Vegetation

Vegetation mapping helps to facilitate the research, assessment, and management of natural resources. Advances in GIS and remote sensing technologies have enabled more efficient, accurate, and precise map capabilities. This project leveraged those capabilities, along with advanced valley bottom modeling techniques, to map riparian plant communities across Forests and Grasslands of the US Forest Service Southwestern Region. The final riparian map provides managers and analysts information of sufficient quality to develop sustainability analysis, base inventory and monitory schemes, and support related studies. This project leveraged remote sensing capabilities, along with advanced valley bottom modeling techniques, to map riparian plant communities across Forests and Grasslands of the US Forest Service Southwestern Region. Mapping was conducted at the complete extent of all 5th-code HUC watersheds intersected by USFS lands in the Southwestern Region. Valley bottom modeling provided a spatial concept from which to base photo interpretation of riparian vegetation types and their extent, and to map riparian communities at the scale of 1:12,000, with a map legend of 24 map units and four subclasses. High resolution infrared photography and other key ancillary references were used to develop and corroborate inferences of riparian settings. An independent accuracy assessment was completed to determine overall map performance in regards to map themes and errors of omission and commission. Based on a random sample of 258 map polygons, the overall area-weighted user accuracy was estimated at 81%, while the net error in map extent was about 5% commission at local scales. At the watershed scale, an additional assessment was made using ten randomly selected watersheds to determine the overall omission of riparian plant communities across the landscape, with a resulting omission of just under 2%.
USFS Southwestern Region 3 - Fire History Occurrences (Points) and Perimeters (Polygons)

The Fire Occurrence point layer represents ignition points from which individual wildland fires started. Data are maintained at the Forest/District level, or their equivalent, to track the occurrence and the origin of individual wildland fires. Records in Fire Occurrence include historical fire point records from a variety of sources. Since 1986, FIRESTAT, the Fire Statistics System computer application, has been the authoritative data source for all wildland fire occurrences on National Forest System Lands or National Forest-Protected Lands. FIRESTAT is used by the USFS to enter and maintain information from the Individual Wildland Fire Report (FS-5100-29). The Fire Perimeter polygon layer represents final mapped wildland fire perimeters. Incidents of 10 acres or greater in size are expected. Incidents smaller than 10 acres in size may also be included. Data are maintained at the Forest/District level, or their equivalent, to track the area affected by wildland fire. Records in Fire Perimeter include perimeters for wildland fires that have corresponding records in FIRESTAT, which is the authoritative data source for all wildland fire reports. FIRESTAT, the Fire Statistics System computer application, required by the USFS for all wildland fire occurrences on National Forest System Lands or National Forest-protected lands, is used to enter and maintain information from the Individual Fire Report (FS-5100-29).
USFS Southwestern Region 3 - Large Wildland Fires

This map depicts Large Wildland Fires of the Southwestern Region of the United States Forest Service. Large fires are defined as greater than 100 acres. Data included are fire polygons for the years 2000 through 2019. Forest Service Fires are any fire occurring on or part of the National Forest System Lands. The Southwestern Region consists of lands managed by the Forest Service in Arizona, New Mexico, the panhandle of Oklahoma, and potions of Texas south of the panhandle. Updates to this map should occur annually as new fire seasons occur. Polygons are color ramped from Green (year 2000) to Red (year 2019).
National Incident Feature Service 2017

The National Incident Feature Service (NIFS) is based on the National Wildfire Coordinating Group (NWCG) data standard for Wildland Fire Event. The Wildland Fire Event data standard defines the minimum attributes necessary for collection, storage and dissemination of incident based data on wildland fires (wildfires and prescribed fires). The standard is not intended for long term data storage, rather a standard to assist in the creation of incident based data management tools, minimum standards for data exchange, and to assist users in meeting [GIS Standard Operating Procedures on Incidents (GSTOP)]. The intent of this standard is to update existing data formats and provide a common set of attributes for use on wildland fires starting fire season 2016.
US 12-digit HUs (Subwatershed)

This file contains Hydrologic Unit (HU) polygon boundaries for the United States, Puerto Rico, and the U.S. Virgin Islands. The data is a seamless National representation of HU boundaries from 2 to 14 digits compiled from U.S. Geological Survey (USGS) National Hydrography Dataset (NHD) and U.S. Department of Agriculture (USDA) National Resources Conservation Service (NRCS) Watershed Boundary Dataset (WBD) sources
US 4-digit HUs (Subregion)

This file contains Hydrologic Unit (HU) polygon boundaries for the United States, Puerto Rico, and the U.S. Virgin Islands. The data is a seamless National representation of HU boundaries from 2 to 14 digits compiled from U.S. Geological Survey (USGS) National Hydrography Dataset (NHD) and U.S. Department of Agriculture (USDA) National Resources Conservation Service (NRCS) Watershed Boundary Dataset (WBD) sources
US NHD - Flowline - Small Scale

The National Hydrography Dataset (NHD) is a feature-based database that interconnects and uniquely identifies the stream segments or reaches that make up the nation's surface water drainage system. NHD data was originally developed at 1:100,000-scale and exists at that scale for the whole country. This high-resolution NHD, generally developed at 1:24,000/1:12,000 scale, adds detail to the original 1:100,000-scale NHD. (Data for Alaska, Puerto Rico and the Virgin Islands was developed at high-resolution, not 1:100,000 scale.) Local resolution NHD is being developed where partners and data exist. The NHD contains reach codes for networked features, flow direction, names, and centerline representations for areal water bodies. Reaches are also defined on waterbodies and the approximate shorelines of the Great Lakes, the Atlantic and Pacific Oceans and the Gulf of Mexico. The NHD also incorporates the National Spatial Data Infrastructure framework criteria established by the Federal Geographic Data Committee. Use the metadata link, http://nhdgeo.usgs.gov/metadata/nhd_high.htm, for additional information.