AndreaBozzo/ceres-open-data-index huggingface dataset:
BLM CO Range Improvement Lines

Range Improvements are man-made or man-caused features on the landscape designed and implemented for the purpose of improving the available forage, managing the season of use or use patterns and enhancing the overall rangeland health of areas available for domestic livestock use. Range improvements may occur on private, state, and public lands under the jurisdiction of the Bureau of Land Management (BLM) and/or other federal or state agencies. On public lands managed by the Bureau of Land Management (BLM), permittees or lessees (henceforth, “operators”) may be required to install range improvements to meet the terms and conditions of their permits or leases. Often the BLM, operators, and other interested parties work together and jointly contribute to construction.Range improvements are authorized physical modifications or treatment which are designed to improve production of forage; change vegetation composition; control patterns of use; provide water; stabilize soil and water conditions; restore, protect, and improve the conditions of the rangeland ecosystems to benefit livestock, wild horses and burros, and fish and wildlife. They include, but are not limited to, structures, treatment projects and use of mechanical devices or modifications achieved through mechanical means. Range Improvements. There are two kinds of range improvements: nonstructural and structural. Seeding or prescribed burns are examples of nonstructural range improvements. Fences or facilities such as wells or water pipelines are examples of structural improvements. Many structural improvements are considered permanent, as they are not easily removed from the land. This data standard will only relate to structural range improvements features as GIS and attribute data related to almost all non-structural range improvements is stored in other national data standard datasets (e.g. NISIMS, VTRT, NFPORS). Range improvement data is also available in the Range Improvement System (RIPS), a BLM database used for tracking the establishment and maintenance of range improvments. RIPS is the database of record and contains the data to be used for budgetary and workload planning. This data set shall be comprised of a spatial display of the data in RIPS. The record unique identifier within the RIPS database (RIPS number) will be added to GIS features in this data standard to link between spatial depictions of range improvements features to their corresponding RIPS records. Wherever possible RIPS data shall be used to populate this data set.

Tags: biota, blm-colorado, colorado, environment, farming, geospatial, health, inlandwaters, range, range-improvements, rips
Organization: Department of the Interior
BLM CO Range Improvement Polygons

Range Improvements are man-made or man-caused features on the landscape designed and implemented for the purpose of improving the available forage, managing the season of use or use patterns and enhancing the overall rangeland health of areas available for domestic livestock use. Range improvements may occur on private, state, and public lands under the jurisdiction of the Bureau of Land Management (BLM) and/or other federal or state agencies. On public lands managed by the Bureau of Land Management (BLM), permittees or lessees (henceforth, “operators”) may be required to install range improvements to meet the terms and conditions of their permits or leases. Often the BLM, operators, and other interested parties work together and jointly contribute to construction.Range improvements are authorized physical modifications or treatment which are designed to improve production of forage; change vegetation composition; control patterns of use; provide water; stabilize soil and water conditions; restore, protect, and improve the conditions of the rangeland ecosystems to benefit livestock, wild horses and burros, and fish and wildlife. They include, but are not limited to, structures, treatment projects and use of mechanical devices or modifications achieved through mechanical means. Range Improvements. There are two kinds of range improvements: nonstructural and structural. Seeding or prescribed burns are examples of nonstructural range improvements. Fences or facilities such as wells or water pipelines are examples of structural improvements. Many structural improvements are considered permanent, as they are not easily removed from the land. This data standard will only relate to structural range improvements features as GIS and attribute data related to almost all non-structural range improvements is stored in other national data standard datasets (e.g. NISIMS, VTRT, NFPORS). Range improvement data is also available in the Range Improvement System (RIPS), a BLM database used for tracking the establishment and maintenance of range improvments. RIPS is the database of record and contains the data to be used for budgetary and workload planning. This data set shall be comprised of a spatial display of the data in RIPS. The record unique identifier within the RIPS database (RIPS number) will be added to GIS features in this data standard to link between spatial depictions of range improvements features to their corresponding RIPS records. Wherever possible RIPS data shall be used to populate this data set.

Tags: biota, blm-colorado, colorado, environment, farming, geospatial, health, inlandwaters, range, range-improvements, rips
Organization: Department of the Interior
BLM OR Chemical Treatments Polygon Hub

CHEM_POLY: This dataset represents completed chemical land treatments on BLM managed lands in the states of Oregon and Washington. Chemical treatments are applications of herbicide or pesticide, to control or kill pests and invasive plants, or fertilizer to enhance plant growth.

Tags: biota, chem, chemical, environment, geospatial, land-use-planning, management, oregon, planningcadastre, treatments, vegetation, washington
Organization: Department of the Interior
BLM ID Sage Grouse Habitat 2023

The 2023 Sage-grouse Habitat Planning Map update incorporates wildfire data and other edits relevant to the 2023 field and fire season as per typical processes used during the past decade. Additional areas of non-habitat, such as paved highways, municipal boundaries, water bodies etc., were also removed. However, the map extent for sage-grouse key habitat and potential restoration areas should be considered provisional, contingent on the final outcome of additional analyses currently underway in association with the national Greater Sage-grouse Conservation Strategy. This data set contains simple, landscape-scale greater sage-grouse habitat types for Idaho and constitutes a current approximation of sage-grouse habitat in the state. The data can be used for general conservation and restoration planning purposes, but additional data or field verification are needed for applications at finer scales. The habitat types include: (1) key sage-grouse habitat areas and (2) four habitat restoration types: (a) R1 - perennial native and non-native grasslands with high restoration potential; (b) R2 - annual grass dominated areas (either shrubland or grassland) with low restoration potential; (c) R3 - conifer encroachment areas with high restoration potential and (d) RB - areas that have recently burned and the type of habitat that is coming back and its restoration potential has not yet been determined. Beginning in 2015, the NA class was included to track areas that were previously identified as habitat but were removed due to vegetation type or terrain (eg. stands of existing timber on North-facing slopes). A new data set will be developed annually to update the planning map and chart landscape-level changes in sage-grouse habitat over time. Edits may also document refinements discovered through inventory, monitoring and modeling. This data covers all of Idaho and a small area in Nevada that is managed by Idaho BLM. Intended scale of use is 1:100,000. This dataset is not synonymous with BLM's Sage-grouse Habitat Management Areas (Priority, Important and General) as those incorporate additional habitat and sage-grouse population data or models.

Tags: 2023, biota, blm, boise-district-office, bruneau-field-office, bureau-of-land-management, burley-field-office, centrocercus-urophasianus, challis-field-office, department-of-energy, department-of-the-interior, doe, doi, environment, forest-service, four-rivers-field-office, fragmentation, greater-sage-grouse, habitat, id, idaho, idaho-falls-district, jarbidge-field-office, nevada, nv, owyhee-field-office, pocatello-field-office, restoration, sage-grouse, salmon-field-office, shoshone-field-office, twin-falls-district-office, u-s-department-of-agriculture, united-states, upper-snake-field-office, us, vegetation, wildlife
Organization: Department of the Interior
BLM CO VRI Scenic Quality Rating Unit Polygons

<div style='text-align:Left;font-size:12pt'><p><span>BLM's Visual Resource Management system provides a way to identify and evaluate scenic values to determine the appropriate levels of management. It also provides a way to analyze potential visual impacts and apply visual design techniques to ensure that surface-disturbing activities are in harmony with their surroundings. This is a two stage process: Inventory, Visual Resource Inventory (VRI) and Analysis, Visual Resource Contrast Rating.</span></p></div>

Tags: blm, bureau-of-land-management, co, colorado, department-of-interior, doi, environment, geospatial, management, visual-resource-inventory, vri
Organization: Department of the Interior
BLM CO VRI Visual Distance Zone Polygons

<div style='text-align:Left;font-size:12pt'><p><span>BLM's Visual Resource Management system provides a way to identify and evaluate scenic values to determine the appropriate levels of management. It also provides a way to analyze potential visual impacts and apply visual design techniques to ensure that surface-disturbing activities are in harmony with their surroundings. This is a two stage process: Inventory, Visual Resource Inventory (VRI) and Analysis, Visual Resource Contrast Rating.</span></p></div>

Tags: blm, bureau-of-land-management, co, colorado, department-of-interior, doi, environment, geospatial, management, visual-resource-inventory, vri
Organization: Department of the Interior
BLM OR Grazing Allotments Web Hub

GRA_ALLOTMENT: This is the feature dataset for the  Livestock grazing allotments and associated attributes describing some basic characteristics of the allotments for allotments on BLM lands in Oregon and Washington.

Tags: allotment, boundaries, farming, geospatial, gra, grazing, livestock, management, oregon, range, washington
Organization: Department of the Interior
BLM CO VRI Sensitivity Level Rating Unit Polygons

<div style='text-align:Left;font-size:12pt'><p><span>BLM's Visual Resource Management system provides a way to identify and evaluate scenic values to determine the appropriate levels of management. It also provides a way to analyze potential visual impacts and apply visual design techniques to ensure that surface-disturbing activities are in harmony with their surroundings. This is a two stage process: Inventory, Visual Resource Inventory (VRI) and Analysis, Visual Resource Contrast Rating.</span></p></div>

Tags: blm, bureau-of-land-management, co, colorado, department-of-interior, doi, environment, geospatial, management, visual-resource-inventory, vri
Organization: Department of the Interior
BLM CO Visual Resource Inventory Classes Polygon

<div style='text-align:Left;font-size:12pt'><p><span>BLM's Visual Resource Management system provides a way to identify and evaluate scenic values to determine the appropriate levels of management. It also provides a way to analyze potential visual impacts and apply visual design techniques to ensure that surface-disturbing activities are in harmony with their surroundings. This is a two stage process: Inventory, Visual Resource Inventory (VRI) and Analysis, Visual Resource Contrast Rating.</span></p></div>

Tags: blm, bureau-of-land-management, co, colorado, department-of-interior, doi, environment, geospatial, management, visual-resource-inventory, vri
Organization: Department of the Interior
Alaska Native Villages

This dataset contains the tribal leadership locations as well as contact information for all 227 Alaska Native Villages. For a full list of Tribes in Alaska please visit: https://www.bia.gov/regional-offices/alaska/tribes-served. Within Alaska are a dynamic and diverse mix of Tribes, Tribal organizations and natural features. The passage of the Alaska Native Claims Settlement Act (ANCSA) in 1971 added an additional layer of land ownership across Alaska. Additionally, in 1998 the federal government officially recognized over 200 Indian tribes in Alaska (entirely separate entities from Alaska Native corporations), which opened the doors for a government-to-government relationships between those tribes and the federal government.

Tags: ak, alaska, alaska-native-villages, alaska-region, aro, bia, bogs, branch-of-geospatial-support, bureau-of-indian-affairs, land-area-representations, native-villages, tribal-land, tribal-offices
Organization: Department of the Interior
BLM ID Sage Grouse Habitat 2020

The 2020 Sage-grouse Habitat Planning Map update incorporates wildfire data and other edits relevant to the 2020 field and fire season as per typical processes used during the past decade. Additional areas of non-habitat, such as paved highways, municipal boundaries, water bodies etc., were also removed. However, the map extent for sage-grouse key habitat and potential restoration areas should be considered provisional, contingent on the final outcome of additional analyses currently underway in association with the national Greater Sage-grouse Conservation Strategy. This data set contains simple, landscape-scale greater sage-grouse habitat types for Idaho and constitutes a current approximation of sage-grouse habitat in the state. The data can be used for general conservation and restoration planning purposes, but additional data or field verification are needed for applications at finer scales. The habitat types include: (1) key sage-grouse habitat areas and (2) four habitat restoration types: (a) R1 - perennial native and non-native grasslands with high restoration potential; (b) R2 - annual grass dominated areas (either shrubland or grassland) with low restoration potential; (c) R3 - conifer encroachment areas with high restoration potential and (d) RB - areas that have recently burned and the type of habitat that is coming back and its restoration potential has not yet been determined. Beginning in 2015, the NA class was included to track areas that were previously identified as habitat but were removed due to vegetation type or terrain (eg. stands of existing timber on North-facing slopes). A new data set will be developed annually to update the planning map and chart landscape-level changes in sage-grouse habitat over time. Edits may also document refinements discovered through inventory, monitoring and modeling. This data covers all of Idaho and a small area in Nevada that is managed by Idaho BLM. Intended scale of use is 1:100,000. This dataset is not synonymous with BLM's Sage-grouse Habitat Management Areas (Priority, Important and General) as those incorporate additional habitat and sage-grouse population data or models.

Tags: 2020, biota, blm, boise-district-office, bruneau-field-office, bureau-of-land-management, burley-field-office, centrocercus-urophasianus, challis-field-office, department-of-energy, department-of-the-interior, doe, doi, environment, forest-service, four-rivers-field-office, fragmentation, greater-sage-grouse, habitat, id, idaho, idaho-falls-district, jarbidge-field-office, nevada, nv, owyhee-field-office, pocatello-field-office, restoration, sage-grouse, salmon-field-office, shoshone-field-office, twin-falls-district-office, u-s-department-of-agriculture, united-states, upper-snake-field-office, us, vegetation, wildlife
Organization: Department of the Interior
BLM CO Visual Resource Inventory

<div style='text-align:Left;font-size:12pt'><p><span>BLM's Visual Resource Management system provides a way to identify and evaluate scenic values to determine the appropriate levels of management. It also provides a way to analyze potential visual impacts and apply visual design techniques to ensure that surface-disturbing activities are in harmony with their surroundings. This is a two stage process: Inventory, Visual Resource Inventory (VRI) and Analysis, Visual Resource Contrast Rating.</span></p></div>

Tags: blm, bureau-of-land-management, co, colorado, department-of-interior, doi, environment, geospatial, management, visual-resource-inventory, vri
Organization: Department of the Interior
BLM OR Mechanical Treatments Polygon Hub

MECH_POLY: This dataset represents completed mechanical treatments on BLM managed lands in the states of Oregon and Washington. Mechanical treatments are 1.) machine and manual methods of area treatment; 2.) pulling, piling, chopping, grinding, or mowing treatments to consolidate, reduce or clear live or dead vegetation (might be grass, brush, small trees, stump removal), as well as "Cut-Leave" of trees, and soil preparation such as plowing or ripping.

Tags: biota, completed, environment, geospatial, management, mech, mechanical, oregon, treatments, vegetation, washington
Organization: Department of the Interior
BLM Colorado Recreation

<div style='text-align:Left; font-size:12pt;'><div><p><span>Illustrate BLM Colorado Recreation point locations and boundaries. The point dataset represents the point features that show the physical locations of BLM Colorado Recreation Sites. The polygon dataset represents the spatial extent and boundaries of the BLM Colorado Recreation Sites.</span></p></div></div>

Tags: blm, bureau-of-land-management, colorado, economy, facility, geospatial, location, management, public-lands, recreation, recreation-sites, society, structure, transportation
Organization: Department of the Interior
BLM OR Leases and Claims Polygon Hub

LSE_CLM_POLY: This dataset is a spatial representation of Leases and Claims (LSE_CLM).  It is a portion of the total encumbrance data category that includes information about entities, rights, and restrictions relating to the use of Federal minerals.  This dataset contains Leases and Claims within Oregon and Washington BLM-administered lands (surface and subsurface) and over mineral estate in areas of split estate (i.e., areas where the BLM administers Federal mineral estate, but the surface is not owned by the BLM).

Tags: authorization, claim, encumbrance, energy, environment, geology, geoscientificinformation, geospatial, lease, management, minerals, mining, oregon, washington
Organization: Department of the Interior
BLM ID Sage Grouse Habitat 2024

The 2024 Sage-grouse Habitat Planning Map update incorporates wildfire data and other edits relevant to the 2024 field and fire season as per typical processes used during the past decade. Additional areas of non-habitat, such as paved highways, municipal boundaries, water bodies etc., were also removed. However, the map extent for sage-grouse key habitat and potential restoration areas should be considered provisional, contingent on the final outcome of additional analyses currently underway in association with the national Greater Sage-grouse Conservation Strategy. This data set contains simple, landscape-scale greater sage-grouse habitat types for Idaho and constitutes a current approximation of sage-grouse habitat in the state. The data can be used for general conservation and restoration planning purposes, but additional data or field verification are needed for applications at finer scales. The habitat types include: (1) key sage-grouse habitat areas and (2) four habitat restoration types: (a) R1 - perennial native and non-native grasslands with high restoration potential; (b) R2 - annual grass dominated areas (either shrubland or grassland) with low restoration potential; (c) R3 - conifer encroachment areas with high restoration potential and (d) RB - areas that have recently burned and the type of habitat that is coming back and its restoration potential has not yet been determined. Beginning in 2015, the NA class was included to track areas that were previously identified as habitat but were removed due to vegetation type or terrain (eg. stands of existing timber on North-facing slopes). A new data set will be developed annually to update the planning map and chart landscape-level changes in sage-grouse habitat over time. Edits may also document refinements discovered through inventory, monitoring and modeling. This data covers all of Idaho and a small area in Nevada that is managed by Idaho BLM. Intended scale of use is 1:100,000. This dataset is not synonymous with BLM's Sage-grouse Habitat Management Areas (Priority, Important and General) as those incorporate additional habitat and sage-grouse population data or models.

Tags: 2024, biota, blm, boise-district-office, bruneau-field-office, bureau-of-land-management, burley-field-office, centrocercus-urophasianus, challis-field-office, department-of-energy, department-of-the-interior, doe, doi, environment, forest-service, four-rivers-field-office, fragmentation, greater-sage-grouse, habitat, id, idaho, idaho-falls-district, jarbidge-field-office, nevada, nv, owyhee-field-office, pocatello-field-office, restoration, sage-grouse, salmon-field-office, shoshone-field-office, twin-falls-district-office, u-s-department-of-agriculture, united-states, upper-snake-field-office, us, vegetation, wildlife
Organization: Department of the Interior
Highway-Rail Crossings Inventory Data

The entire National Highway-Rail Crossing Inventory is available in three separate downloadble files. There is a file of all current Public-at-Grade crossings. There is a file of all current Private and grade-separated crossings. There is also a file which contains about 10 years of archival records for all types of crossings.

Tags: acts-of-god, collisions, derailments, explosions, fires, rail
Organization: Department of Transportation