This dataset was created to monitor the status, condition and trend of national BLM resources in accordance with BLM policies. It focuses on the BLM terrestrial core indicators, which include measures of vegetation and soil condition such as plant species cover and composition, plant height, and soil stability. The BLM terrestrial core indicators and methods were identified through a multi-disciplinary process and are described in BLM Technical Note 440 (https://ia800701.us.archive.org/6/items/blmcoreterrestri00mack/BlmCoreTerrestrialIndicatorsAndMethods_88072539.pdf). The Landscape Monitoring Framework (LMF) dataset was collect using the Natural Resource Conservation Services (NRCS) National Resource Inventory (NRI) methodology which mirrors the data collected by the BLM using the Monitoring Manual for Grassland, Shrubland, and Savannah Ecosystems (2nd edition; https://www.landscapetoolbox.org/methods-manuals/monitoring-manual-2nd-edition/). Specific instructions for data collectors each year the data were collected can be found at https://grazingland.cssm.iastate.edu/. Also see Interpreting Indicators of Rangeland Health (version 5; https://www.landscapetoolbox.org/manuals/iirhv5/). The monitoring locations were selected using spatially balanced, random sampling approaches and thus provide an unbiased representation of land conditions. However, these data should not be used for statistical or spatial inferences without knowledge of how the sample design was drawn or without calculating spatial weights for the points based on the sample design. General Definitions Noxious: Noxious status and growth form (forb, shrub, etc.) are designated for each BLM Administrative State using the state noxious list and local botany expertise often after consulting the USDA plants database. Each state’s noxious list can be found in tblStateSpecies Table, where the Noxious field is ‘YES’ and the StateSpecies field has the two letter state code for the desired state (e.g. ‘NM’). Non-Noxious: Non-Noxious status and growth form (forb, shrub, etc.) are designated for each BLM Administrative State using the state noxious list and local botany expertise often after consulting the USDA plants database. Non-Noxious status can be found in tblStateSpecies Table, where the Noxious field is ‘NO’ and the StateSpecies field has the two letter state code for the desired state (e.g. ‘NM’). Sagebrush: Sagebrush species are designated for each BLM Administrative State using local botany expertise. This list can be found for each state in in the tblStateSpecies Table, where SG_Group field is ‘Sagebrush’ and the StateSpecies field has the two letter state code for the desired state (e.g. ‘NM’). Non-Sagebrush Shrub: Non Sagebrush Shrub species are designated for each BLM Administrative State as the plants determined to be shrubs that are not also Sagebrush. This list can be found for each state in in the tblStateSpecies Table, where SG_Group field is ‘NonSagebrushShrub’ and the StateSpecies field has the two letter state code for the desired state (e.g. ‘NM’). Tall Stature Perennial Grass: Tall Stature Perennial Grasses status was determined by Sage Grouse biologist and modified slightly in each state and this list can be found in tblStateSpecies in the SG_Group field where SG_Group field is ‘TallStaturePerennialGrass’ and the StateSpecies field has the two letter state code for the desired state (e.g. ‘NM’). Short Stature Perennial Grass: Short Stature Perennial Grasses status was determined by Sage Grouse biologist and modified slightly in each state and this list can be found in tblStateSpecies in the SG_Group field where SG_Group field is ‘ShortStaturePerennialGrass’ and the StateSpecies field has the two letter state code for the desired state (e.g. ‘NM’). Preferred Forb: Preferred forb for Sage Grouse status was determined for each state by Sage Grouse biologist and other local experts and this list can be found in tblStateSpecies in the SG_Group field where SG_Group field is ‘PreferredForb’ and the StateSpecies field has the two letter state code for the desired state (e.g. ‘NM’). Live: The NRI Methods measure Live vs Dead plant cover – i.e. if a pin drop hits a plant part and that plant part is dead (even if it’s on a living plant) that hit is considered a dead hit. Any occurrence of Live Sagebrush calculations indicates that the measurement is only hits that were live plant parts. If a pin hits both a live and a dead plant part in the same pin drop – that hit is considered live. Growth Habit: The form of a plant, in this dataset the options are Forb, Graminoid, Sedge, Succulent, Shrub, SubShrub, Tree, NonVascular. The most common growth habit for each state was determined by local botany expertise often after consulting the USDA plants database. The growth habit for each species is a state can be found in tblStateSpecies in the GrowthHabitSub field. The values are used to place each plant in a Growth Habit/Duration bin such as Perennial Grass, or Annual Forb, etc. Duration: The life length of a plant. In this dataset we consider plants to be either Perennial or Annual – Biennial plants are classified as Annuals. The most common duration for each state was determined by local botany expertise often after consulting the USDA plants database. The duration for each species is a state can be found in tblStateSpecies in the Duration field. The values are used to place each plant in a Growth Habit/Duration bin such as Perennial Grass, or Annual Forb, etc. tblStateSpecies: This table in the database contains the Species Lists for each state. In the instance where a species code does not have a Growth Habit, Growth Habit Sub, or Duration – any occurrence of that code will not be included in calculations that require that information – for example a code that has NonWoody Forb but no information about annual or perennial will not be included in any of the calculations that are perennial or annual forb calculations. Most codes with no information will have the following in the notes – indicating that the only calculation it will be included in is Total Foliar which doesn’t require any growth habit and duration information – “Not used for calculations except Total Foliar.”

This metadata is the documentation for the field soil observations, ecological site identification, and geomorphology characteristics collected by the Assessment, Inventory, and Monitoring (AIM) terrestrial program between 2012 and 2021 in 14 states of the western United States. The AIM program is conducted by the Bureau of Land Management (BLM)’s and provides information to guide site-specific management of ecosystem functions and services. There are 31,267 monitoring plots (79% of plots) with identified ecological sites and 29,228 plots (74% of plots) containing soil morphology descriptions of soil horizons examined in excavated pits. While soil texture class is observed in most soil horizons (98%), rock fragment volume is the soil property with the least data availability (75%). The consistency of soil data (e.g., clay content observations within the ranges of texture classes) increases as a function of time following guidance in soil profile description training for AIM data collectors. Nearly 47% of AIM plots are found on gentle slopes of 0-5% steepness and on Flat/Plain and Hill/Mountain landscape types. The AIM database is a source of georeferenced soil and geomorphology information that can be used for land management and research on land potential, soil geography, and assessment of soil health indicators across the western United States. Resources in this dataset: Resource title: Plot characteristics File name: PlotCharacteristics.csv Resource description: Plot characteristics table contains information on GPS coordinates, ecological site ID, and geomorphological settings, such as slope, aspect, landscape type, etc. Resource title: Soil horizon File name: SoilHorizon.csv Resource description: The soil horizon table has information on soil morphology attributes, such as color, texture class, effervescence, soil structure, etc. Resource title: Plot characteristics data dictionary File name: PlotCharacteristicsDataDictionary.csv Resource title: Soil horizon data dictionary File name: SoilHorizonDataDictionary.csv Resource title: Methods File name: Methods.txt

The AIM Strategy provides a standard, quantitative approach to assessing the health of uplands (terrestrial), rivers and streams (lotic), and riparian and wetland ecosystems to inform management of public lands. AIM data are a reliable, high-quality data source that meets Council on Environmental Quality and Data Quality Act Guidelines. The AIM dataset is also one of the largest available datasets to inform resource management decisions on public lands. AIM data may be used alone or in conjunction with other types of data in a “multiple lines of evidence” approach to inform decision-making. For example, AIM data can provide a snapshot of current conditions and a means of tracking resource changes over time across a Land Use Plan (LUP) Planning area or a National Environmental Policy Act (NEPA) project area, while other data may provide more detailed analysis of specific areas and land uses (e.g., land health evaluations and determinations, land treatment and restoration effectiveness reports). Assessments such as BLM’s Technical References (TR) Interpreting Indicators of Rangeland Health (IIRH) (TR 1734-6), Proper Functioning Condition (PFC) (TR 1737-15 and TR 1737-16), or Greater Sage-Grouse (GRSG) Habitat Assessment Framework (HAF) (TR 6710-1) should be used to augment status and trend information and should incorporate AIM indicators and methods to complete the assessments when possible. In addition, other high-quality information that describes terrestrial, lotic, and riparian and wetland conditions, including satellite-derived maps, can be used to inform assessments.

This dataset was created to monitor the status, condition and trend of national BLM resources in accordance with BLM policies. It focuses on the BLM terrestrial core indicators, which include measures of vegetation and soil condition such as plant species cover and composition, plant height, and soil stability. The BLM terrestrial core indicators and methods were identified through a multi-disciplinary process and are described in BLM Technical Note 440 (https://www.blm.gov/nstc/library/pdf/TN440.pdf). The Landscape Monitoring Framework (LMF) dataset was collect using the Natural Resource Conservation Services (NRCS) National Resource Inventory (NRI) methodology which mirrors the data collected by the BLM using the Monitoring Manual for Grassland, Shrubland, and Savannah Ecosystems (2nd edition; https://www.landscapetoolbox.org/manuals/monitoring-manual/). Specific instructions for data collectors each year the data were collected can be found at https://www.nrisurvey.org/nrcs/Grazingland/. Also see Interpreting Indicators of Rangeland Health (version 5; https://www.landscapetoolbox.org/manuals/iirhv5/). The monitoring locations were selected using spatially balanced, random sampling approaches and thus provide an unbiased representation of land conditions. However, these data should not be used for statistical or spatial inferences without knowledge of how the sample design was drawn or without calculating spatial weights for the points based on the sample design. General Definitions Noxious: Noxious status and growth form (forb, shrub, etc.) are designated for each BLM Administrative State using the state noxious list and local botany expertise often after consulting the USDA plants database. Each state’s noxious list can be found in tblStateSpecies Table, where the Noxious field is ‘YES’ and the StateSpecies field has the two letter state code for the desired state (e.g. ‘NM’). Non-Noxious: Non-Noxious status and growth form (forb, shrub, etc.) are designated for each BLM Administrative State using the state noxious list and local botany expertise often after consulting the USDA plants database. Non-Noxious status can be found in tblStateSpecies Table, where the Noxious field is ‘NO’ and the StateSpecies field has the two letter state code for the desired state (e.g. ‘NM’). Sagebrush: Sagebrush species are designated for each BLM Administrative State using local botany expertise. This list can be found for each state in in the tblStateSpecies Table, where SG_Group field is ‘Sagebrush’ and the StateSpecies field has the two letter state code for the desired state (e.g. ‘NM’). Non-Sagebrush Shrub: Non Sagebrush Shrub species are designated for each BLM Administrative State as the plants determined to be shrubs that are not also Sagebrush. This list can be found for each state in in the tblStateSpecies Table, where SG_Group field is ‘NonSagebrushShrub’ and the StateSpecies field has the two letter state code for the desired state (e.g. ‘NM’). Tall Stature Perennial Grass: Tall Stature Perennial Grasses status was determined by Sage Grouse biologist and modified slightly in each state and this list can be found in tblStateSpecies in the SG_Group field where SG_Group field is ‘TallStaturePerennialGrass’ and the StateSpecies field has the two letter state code for the desired state (e.g. ‘NM’). Short Stature Perennial Grass: Short Stature Perennial Grasses status was determined by Sage Grouse biologist and modified slightly in each state and this list can be found in tblStateSpecies in the SG_Group field where SG_Group field is ‘ShortStaturePerennialGrass’ and the StateSpecies field has the two letter state code for the desired state (e.g. ‘NM’). Preferred Forb: Preferred forb for Sage Grouse status was determined for each state by Sage Grouse biologist and other local experts and this list can be found in tblStateSpecies in the SG_Group field where SG_Group field is ‘PreferredForb’ and the StateSpecies field has the two letter state code for the desired state (e.g. ‘NM’). Live: The NRI Methods measure Live vs Dead plant cover – i.e. if a pin drop hits a plant part and that plant part is dead (even if it’s on a living plant) that hit is considered a dead hit. Any occurrence of Live Sagebrush calculations indicates that the measurement is only hits that were live plant parts. If a pin hits both a live and a dead plant part in the same pin drop – that hit is considered live. Growth Habit: The form of a plant, in this dataset the options are Forb, Graminoid, Sedge, Succulent, Shrub, SubShrub, Tree, NonVascular. The most common growth habit for each state was determined by local botany expertise often after consulting the USDA plants database. The growth habit for each species is a state can be found in tblStateSpecies in the GrowthHabitSub field. The values are used to place each plant in a Growth Habit/Duration bin such as Perennial Grass, or Annual Forb, etc. Duration: The life length of a plant. In this dataset we consider plants to be either Perennial or Annual – Biennial plants are classified as Annuals. The most common duration for each state was determined by local botany expertise often after consulting the USDA plants database. The duration for each species is a state can be found in tblStateSpecies in the Duration field. The values are used to place each plant in a Growth Habit/Duration bin such as Perennial Grass, or Annual Forb, etc. tblStateSpecies: This table in the database contains the Species Lists for each state. In the instance where a species code does not have a Growth Habit, Growth Habit Sub, or Duration – any occurrence of that code will not be included in calculations that require that information – for example a code that has NonWoody Forb but no information about annual or perennial will not be included in any of the calculations that are perennial or annual forb calculations. Most codes with no information will have the following in the notes – indicating that the only calculation it will be included in is Total Foliar which doesn’t require any growth habit and duration information – “Not used for calculations except Total Foliar.”

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Complete dataset: AIM Youth Mental Health's 0 incidents, security score trends, compliance status, and comparative benchmarks against 5,129 industry peers.

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Curr-ReFT-data

[📂 GitHub][📝 Paper] [🤗 HF Dataset] [🤗 HF-Model: Curr-ReFT-3B] [🤗 HF-Model: Curr-ReFT-7B]

  Dataset Overview

Curr-ReFT-data contains training data for both stages of the Curr-ReFT methodology. The proposed Curr-ReFT post-training paradigm consists of two consecutive training stages: 1. Curriculum Reinforcement Learning: Gradually increasing task difficulty through reward mechanisms that match task complexity. 2. Rejected Sample based… See the full description on the dataset page: https://huggingface.co/datasets/ZTE-AIM/Curr-ReFT-data.

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This feature class includes monitoring data collected nationally to understand the status, condition, and trend of resources on BLM lands. Data are collected in accordance with the BLM Assessment, Inventory, and Monitoring (AIM) Strategy. The AIM Strategy specifies a probabilistic or targeted sampling design, structured implementation, standard core methods and indicators, electronic data capture and management, and integration with remote sensing. Each record represents a sample visit during which a suite of the BLM Riparian and Wetland AIM methods were applied, with the geometry marking the center of the plot as taken in the Plot Characterization form. Attributes are the BLM Riparian and Wetland AIM core indicators, which include plot-level measures of vegetation and soil condition such as plant species cover and composition, plant height, and woody structure. In addition, some plots may have some contingent and annual use indicators, including measures of hummock cover and characteristics, water quality, stubble height, soil alteration, and riparian woody use. Data were collected and managed by BLM Field Offices, BLM Districts, and/or affiliated field crews with support from the BLM National Operations Center. Data are stored in a centralized database (BLM AIM Wetland Database) at the BLM National Operations Center. Annual Use data (i.e., annual use indicators) are omitted from the public version of these data but can be made available upon request. General Definitions The species list used for data collection was originally developed from a full download of all species in USDA PLANTS shown as occurring in BLM-administered states. The state-level occurrence of species in this list have been adjusted over time as individual species were found to be missing from individual state lists. Traits used in indicator calculations for all species observed at a given monitoring plot can be found in the I_SpeciesIndicator feature service, where the traits are listed by plant. A full species list can also be provided by request by the National Riparian and Wetland AIM Team. Once finalized, it will be added to the WetlandAIM database, likely in spring of 2024. In general, traits are assigned at the species-level. Genera and family-level records were only given trait values if all species within that taxonomic group were considered to have one trait (e.g., all species of Tamarix are nonnative, so the genus level code is also considered nonnative). To assign Growth Habit and Duration to unknown plants, information recorded in the Unknown Plants form was used to fill in traits. For example, if a plant was identified as a Carex species (unknown code CAREX_01), the growth habit (graminoid) would be taken from the full species list since all Carex species are graminoids, and the duration would be taken from the plot-specific matching entry in Unknown Plants. Nativity Status: The nativity status of all species was taken from the USDA Plants Database and was ranked at a national scale. All plants identified to species are ‘Native’, ‘Nonnative’, or ‘Cryptogenic’. The term cryptogenic refers to species with both native and nonnative genotypes. Genera and family-level plants were only given a nativity status if all species within that taxonomic group were considered either native or nonnative (e.g. all species of Tamarix are nonnative, so the genus level code is also considered nonnative). Noxious: Noxious status are designated for each political state (i.e. StateCode) developed using the most recent state noxious list available online. Wetland Indicator Status: Wetland Indicator Status was taken from the U.S. Army Corps of Engineers’ National Wetland Plant List (NWPL 2020, version 3.5; https://wetland-plants.usace.army.mil/). Plants are ranked by ecoregion into one of the following rating categories based on an estimated frequency with which it is thought to occur in wetlands: obligate (OBL), facultative wetland (FACW), facultative (FAC), facultative upland (FACU), or upland (UPL), The five rating categories were first developed through an exhaustive review of the botanical literature and best professional judgement of national and regional experts, and has since undergone multiple rounds of revision by a national panel. C-Values: Coefficients of Conservatism (C-values) are assigned to species by a panel of experts, typically at a state level. C-values range from 0 to 10 and represent an estimated probability that a plant is likely to occur in a landscape relatively unaltered from pre-European settlement conditions (see table of C-Value Interpretation below). The Mean C-value is calculated at a plot level by averaging the C-values of all species in a given plot. Mean C-value is a stand-alone indicator of floristic quality, one of several indicators under the Floristic Quality Assessment (FQA) approach to assesses the degree of "naturalness" of an area. C-Value Interpretation 0 = Non-native species. Very prevalent in new ground or non-natural areas 1-3 = Commonly found in non-natural areas 4-6 = Equally found in natural and non-natural areas 7-9 = Obligate to natural areas but can sustain some habitat degradation 10 = Obligate to high-quality natural areas (relatively unaltered from pre-European settlement) C-values were compiled from several sources, listed below. CO = Smith, P., G. Doyle, and J. Lemly. 2020. Revision of Colorado’s Floristic Quality Assessment Indices. Colorado Natural Heritage Program, Colorado State University, Fort Collins, Colorado. MT = Pipp, Andrea. 2017. Coefficient of Conservatism Rankings for the Flora of Montana: Part III. Report to the Montana Department of Environmental Quality, Helena, Montana. Prepared by the Montana Natural Heritage Program, Helena, Montana. 107 pp. WA = Rocchio, F.J, and R. Crawford. 2013. Floristic Quality Assessment for Washington Vegetation. Washington Natural Heritage Program, Washington Department of Natural Resources, Olympia, WA. (Values for Eastern Washington used). WY = Washkoviak L, B. Heidel, and G. Jones. 2017. Floristic Quality Assessment for Wyoming Flora: Developing Coefficients of Conservatism. Prepared for the U.S. Army Corps of Engineers. The Wyoming Natural Diversity Database, Laramie, Wyoming. 13 pp. plus appendices. AZ, CA, ID, NM, NV, OR, UT = Great Lakes Environmental Center (GLEC), Inc. and M.S. Fennessy. 2019. Project to Assign C-Values to Western State for use in the USEPA National Wetland Condition Assessment. Great Lakes Environmental Center, Traverse City, MI. Live: The Core Methods measure Live vs. Standing Dead plant cover, i.e., if a pin drop hits a dead plant part (even if it’s on a living plant), that hit is considered a dead hit. If a pin hits both a live and a dead plant part in the same pin drop, that hit is considered live. Growth Habit: The form of a plant. In this dataset, plants are either Forb, Graminoid, Shrub, Tree, and, in Alaska only, Liverwort, Moss, Hornwort, and Lichen. Growth habitat was derived from USDA PLANTS. If more than one growth habit was designated in USDA PLANTS, the most common growth habit was determined by consulting the USDA plants database and other literature and was applied across all states where it occurs. Graminoids include all grasses, rushes, sedges, arrow grasses, and quillworts (Poaceae, Cyperaceae, Juncaceae, Juncaginaceae, and Isoetes). Forbs include vascular, non-woody plants, but exclude graminoids. Shrubs are defined as perennial multi-stemmed woody plants usually less than 4-5 m in height. Trees are generally perennial woody plants with a single stem, normally greater than 4 to 5 m in height. Duration: The life length of a plant. In this dataset, plants are either Perennial or Annual. Biennial plants are classified as Annuals. Duration was derived from USDA PLANTS. If more than one duration was designated in USDA PLANTS, the most common duration for each state was determined by consulting the USDA plants database and applied across all administrative states where it occurs. Nonvasculars: Nonvascular species were not included in LPI data collection in the lower-48 except as generic “non-plant” codes. In Alaska, a full list of nonvascular species from the Alaska Vegetation Plots Database (https://akveg.uaa.alaska.edu/) including mosses, hornworts, liverworts, and lichens was used during data collection. In terms of indicator calculations, nonvasculars were not included in plot-level plant counts and cover (i.e. cover of various plant trait categories like nativity, duration, or growth habit), but were instead transferred into the simplified non-plant codes to be calculated into moss and lichen cover indicators. Cover by species of these nonvasculars can be found in the SpeciesIndicators table. Preferred Forbs: A set of specific forb species that are preferred by Sage Grouse birds. State preferred forb lists were developed by state botanists in collaboration with wildlife and sage-grouse experts and were based on a combination of peer reviewed literature and local knowledge. These lists were then combined to create one national list.

This feature class includes monitoring data collected nationally to understand the status, condition, and trend of resources on BLM lands. It focuses on the BLM terrestrial core indicators, which include measures of vegetation and soil condition such as plant species cover and composition, plant height, and soil stability. The BLM terrestrial core indicators and methods were identified through a multi-disciplinary process and are described in BLM Technical Note 440 (https://ia800701.us.archive.org/6/items/blmcoreterrestri00mack/BlmCoreTerrestrialIndicatorsAndMethods_88072539.pdf). The Landscape Monitoring Framework (LMF) dataset was collect using the Natural Resource Conservation Services (NRCS) National Resource Inventory (NRI) methodology which mirrors the data collected by the BLM using the Monitoring Manual for Grassland, Shrubland, and Savannah Ecosystems (2nd edition; https://www.landscapetoolbox.org/manuals/monitoring-manual/). Specific instructions for data collectors each year the data were collected can be found at https://grazingland.cssm.iastate.edu/reference-materials. Also see Interpreting Indicators of Rangeland Health (version 5; https://www.landscapetoolbox.org/manuals/iirhv5/). The monitoring locations were selected using spatially balanced, random sampling approaches and thus provide an unbiased representation of land conditions. However, these data should not be used for statistical or spatial inferences without knowledge of how the sample design was drawn or without calculating spatial weights for the points based on the sample design. General Definitions Noxious: Noxious status and growth form (forb, shrub, etc.) are designated for each BLM Administrative State using the state noxious list and local botany expertise often after consulting the USDA plants database. Each state’s noxious list can be found in tblStateSpecies Table, where the Noxious field is ‘YES’ and the StateSpecies field has the two letter state code for the desired state (e.g. ‘NM’). Non-Noxious: Non-Noxious status and growth form (forb, shrub, etc.) are designated for each BLM Administrative State using the state noxious list and local botany expertise often after consulting the USDA plants database. Non-Noxious status can be found in tblStateSpecies Table, where the Noxious field is ‘NO’ and the StateSpecies field has the two letter state code for the desired state (e.g. ‘NM’). Sagebrush: Sagebrush species are designated for each BLM Administrative State using local botany expertise. This list can be found for each state in in the tblStateSpecies Table, where SG_Group field is ‘Sagebrush’ and the StateSpecies field has the two letter state code for the desired state (e.g. ‘NM’). Non-Sagebrush Shrub: Non Sagebrush Shrub species are designated for each BLM Administrative State as the plants determined to be shrubs that are not also Sagebrush. This list can be found for each state in in the tblStateSpecies Table, where SG_Group field is ‘NonSagebrushShrub’ and the StateSpecies field has the two letter state code for the desired state (e.g. ‘NM’). Tall Stature Perennial Grass: Tall Stature Perennial Grasses status was determined by Sage Grouse biologist and modified slightly in each state and this list can be found in tblStateSpecies in the SG_Group field where SG_Group field is ‘TallStaturePerennialGrass’ and the StateSpecies field has the two letter state code for the desired state (e.g. ‘NM’). Short Stature Perennial Grass: Short Stature Perennial Grasses status was determined by Sage Grouse biologist and modified slightly in each state and this list can be found in tblStateSpecies in the SG_Group field where SG_Group field is ‘ShortStaturePerennialGrass’ and the StateSpecies field has the two letter state code for the desired state (e.g. ‘NM’). Preferred Forb: Preferred forb for Sage Grouse status was determined for each state by Sage Grouse biologist and other local experts and this list can be found in tblStateSpecies in the SG_Group field where SG_Group field is ‘PreferredForb’ and the StateSpecies field has the two letter state code for the desired state (e.g. ‘NM’). Live: The NRI Methods measure Live vs Dead plant cover – i.e. if a pin drop hits a plant part and that plant part is dead (even if it’s on a living plant) that hit is considered a dead hit. Any occurrence of Live Sagebrush calculations indicates that the measurement is only hits that were live plant parts. If a pin hits both a live and a dead plant part in the same pin drop – that hit is considered live. Growth Habit: The form of a plant, in this dataset the options are Forb, Graminoid, Sedge, Succulent, Shrub, SubShrub, Tree, NonVascular. The most common growth habit for each state was determined by local botany expertise often after consulting the USDA plants database. The growth habit for each species is a state can be found in tblStateSpecies in the GrowthHabitSub field. The values are used to place each plant in a Growth Habit/Duration bin such as Perennial Grass, or Annual Forb, etc. Duration: The life length of a plant. In this dataset we consider plants to be either Perennial or Annual – Biennial plants are classified as Annuals. The most common duration for each state was determined by local botany expertise often after consulting the USDA plants database. The duration for each species is a state can be found in tblStateSpecies in the Duration field. The values are used to place each plant in a Growth Habit/Duration bin such as Perennial Grass, or Annual Forb, etc. tblStateSpecies: This table in the database contains the Species Lists for each state. In the instance where a species code does not have a Growth Habit, Growth Habit Sub, or Duration – any occurrence of that code will not be included in calculations that require that information – for example a code that has NonWoody Forb but no information about annual or perennial will not be included in any of the calculations that are perennial or annual forb calculations. Most codes with no information will have the following in the notes – indicating that the only calculation it will be included in is Total Foliar which doesn’t require any growth habit and duration information – “Not used for calculations except Total Foliar.”

Comprehensive dataset containing 1 verified Aim locations in Virginia, United States with complete contact information, ratings, reviews, and location data.

Species indicator data from AIM Terrestrial datasets TerrADat and LMF. AIM Terrestrial includes monitoring data collected nationally to understand the status, condition, and trend of resources on BLM lands summarized by species. Data are collected in accordance with the BLM Assessment, Inventory, and Monitoring (AIM) Strategy. The AIM Strategy specifies a probabilistic sampling design, standard core indicators and methods, electronic data capture and management, and integration with remote sensing. This combines the data from the TerrADat and LMF datasets.

Since 2011, the Bureau of Land Management (BLM) has collected field information to inform land health through its Assessment Inventory and Monitoring (AIM) strategy. To date, more than 6,000 terrestrial AIM field plots have been collected over BLM lands. The BLM AIM data archive is updated annually. Standardized core indicators are collected at each plot that are known to be both ecologically relevant and clearly tied to rangeland health. These indicators inform biotic integrity, soil and site stability, and hydrologic function. The terrestrial plot measurements include fractional bare ground cover, vegetation composition and height, plants of management concern, non-native invasive species, plant canopy gaps, species richness, and soil aggregate stability. AIM represents one of the most extensive publicly available plot measurement datasets across Western US federal lands, which can be integrated with remotely sensed imagery and other geospatial information for a range of analysis, classification, and validation purposes. This dataset was created to monitor the status, condition and trend of national BLM resources in accordance with BLM policies. The methodology used for the collection of these data can be found on the Landscape Toolbox and the Monitoring Manual, 2nd Edition. These data should not be used for statistical or spatial inferences without knowledge of how the sample design was drawn or without calculating spatial weights for the points based on the sample design. This feature class includes monitoring data collected nationally to understand the status, condition, and trend of resources on BLM lands. Data are collected in accordance with the BLM Assessment, Inventory, and Monitoring (AIM) Strategy. The AIM Strategy specifies a probabilistic sampling design, standard core indicators and methods, electronic data capture and management, and integration with remote sensing. Attributes include the BLM terrestrial core indicators: bare ground, vegetation composition, plant species of management concern, non-native invasive species, and percent canopy gaps (see Entity/Attribute Section for exact details on attributes). Data were collected and managed by BLM Field Offices, BLM Districts, and/or affiliated field crews with support from the BLM National Operations Center. Data are stored in a centralized database (TerrADat) at the BLM National Operations Center. Data were collected by trained data collectors with the BLM and partner organizations. They followed the BLM core terrestrial data collection protocols. Data were captured electronically using the Database for Inventory, Monitoring, and Assessment. They were managed by the data collectors, with oversight from BLM field offices, state offices, and the National Operations Center. This dataset has undergone rigorous QA/QC to ensure data quality.

Federal contract award data for B-NV LOTIC AIM DATA COLLECTION 2026, awarded by INTERIOR, DEPARTMENT OF THE in the Environmental Consulting Services sector. Sourced from SAM.gov federal procurement database.

Comprehensive dataset containing 39 verified Aim Transportation Solutions locations in United States with complete contact information, ratings, reviews, and location data.

United Kingdom Number of Listed Companies: Annual: AIM data was reported at 982.000 Unit in 2016. This records a decrease from the previous number of 1,044.000 Unit for 2015. United Kingdom Number of Listed Companies: Annual: AIM data is updated yearly, averaging 1,032.500 Unit from Dec 1995 (Median) to 2016, with 22 observations. The data reached an all-time high of 1,694.000 Unit in 2007 and a record low of 121.000 Unit in 1995. United Kingdom Number of Listed Companies: Annual: AIM data remains active status in CEIC and is reported by London Stock Exchange. The data is categorized under Global Database’s United Kingdom – Table UK.Z013: London Stock Exchange: Number of Listed Companies and Securities.

This feature class includes monitoring data collected nationally to understand the status, condition, and trend of resources on BLM lands. Data are collected in accordance with the BLM Assessment, Inventory, and Monitoring (AIM) Strategy. The AIM Strategy specifies a probabilistic sampling design, standard core indicators and methods, electronic data capture and management, and integration with remote sensing. Attributes include the BLM aquatic core indicators: pH, conductivity, temperature, pool depth, length, frequency, streambed particles sizes, bank stability and cover, floodplain connectivity, large woody debris, macroinvertebrate biological integrity, ocular estimates of vegetative type, cover, and structure and canopy cover. In addition, the contingent indicators of total nitrogen and phosphorous, turbidity, bank angle, thalweg depth profile and quantitative vegetation estimates (see the Data Structure and Attribute Information section for exact details on attributes). Data were collected and managed by BLM Field Offices, BLM Districts, and/or affiliated field crews with support from the BLM National Operations Center. Data are stored in a centralized database (BLM AIM Lotic Database) at the BLM National Operations Center.

Complete dataset: AIM Institute of Health & Sciences's 0 incidents, security score trends, compliance status, and comparative benchmarks against 7,118 industry peers.