These data include 2015 - 2018 eDNA field sample points indicating lab results for presence or absence of bull trout. Sample sites are spaced at a 1 kilometer interval throughout the historical range of bull trout. eDNA stream samples are collected and species presence/absence is determined by analyses at the National Genomics Center. Results are recorded in the feature attribute table of the eDNA sample site shapefile. One point feature in the shapefile was generated for each 1 kilometer sample point in the bull trout eDNA feature class. Where multiple samples were collected at a single eDNA sample site, replicate point features will occur at a single location in the shapefile. The bull trout is an ESA-listed species with a historical range that encompasses many waters across the Northwest. Though once abundant, bull trout have declined in many locations and are at risk from a changing climate, nonnative species, and habitat degradation. Informed conservation planning relies on sound and precise information about the distribution of bull trout in thousands of streams, but gathering this information is a daunting and expensive task. To overcome this problem, we coupled 1) predictions from the range-wide, spatially precise Climate Shield model on the location of natal habitats of bull trout with 2) a sampling template for every 8-digit hydrologic unit in the historical range of bull trout, based on the probability of detecting bull trout presence using environmental DNA (eDNA) sampling (McKelvey et al. 2016). The template consists of a master set of geospatially referenced sampling locations at 1-kilometer intervals within each cold-water habitat. We also identified sampling locations at this same interval based on the U.S. Fish and Wildlife Service's (USFWS) designation of critical spawning and rearing habitat. Based on field tests of eDNA detection probabilities conducted by the National Genomics Center for Wildlife and Fish Conservation, this sampling approach will reliably determine the presence of populations of bull trout, as well as provide insights on non-spawning habitats used by adult and subadult fish. The completed bull trout eDNA survey results are available through an interactive ArcGIS Online Map. The map provides the ability to zoom in and look at an area of interest, as well as to create queries or select an area to download points as a shapefile.

About this dataset

Context

The dataset tabulates the Bulls Gap population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Bulls Gap. The dataset can be utilized to understand the population distribution of Bulls Gap by age. For example, using this dataset, we can identify the largest age group in Bulls Gap.

Key observations

The largest age group in Bulls Gap, TN was for the group of age 50 to 54 years years with a population of 96 (10.55%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Bulls Gap, TN was the 80 to 84 years years with a population of 12 (1.32%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Bulls Gap is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Bulls Gap total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Bulls Gap Population by Age. You can refer the same here

Bull

## Overview

Bull is a dataset for object detection tasks - it contains Bull annotations for 998 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

S&P 500 index of monthly data of bull/bear markets

Click on Parent Folder to access all data and metadata that are currently available. Metadata include site properties, instrumentation, and processing notes.

You may also click on individual Water Years (WY) and other links to immediately download a data file.

NOTE: We are working to update individual data listings on this site. Current files listed below may not represent all available data and metadata. Click on the Parent Folder link to see all publicly accessible files.

Bull Creek Lower Met data collected by water year (previous October 01 through September 30 of named year). Standard meteorological data are being collected at the Bull Lower Meteorological site using a Campbell Scientific logger to control peripheral devices. The data are remotely downloaded via radio modem through the USFS radio network. A 15 watt solar panel provides power to continuously monitor temperature, relative humidity, wind speed, wind direction, radiation, snow depth, snow density and rainfall intensity at 15 minute intervals. Data processing compresses data to hourly intervals. The Bull Lower Met site is located at 2195 meters in elevation.

This met station is located at the Bull Creek site of the Kings River Experimental Watershed (KREW). Both the Providence and Bull Creek met stations were erected by the Forest Service Pacific Southwest research station as part of the KREW project using the same methods and sensors. Data processing was conducted by the CZO using the same programs. The Bull creek site acts as a nearby paired area, approximately 400 m higher in elevation than the Providence sites. See additional information on the https://eng.ucmerced.edu/snsjho/files/MHWG/Field/Southern_Sierra_CZO_KREW/Bull_Creek_Lower_Met/Meteorological_Station/Level_1b/LowBull_Met_Methods.txt methods, including sensors used, and https://eng.ucmerced.edu/snsjho/files/MHWG/Field/Southern_Sierra_CZO_KREW/Bull_Creek_Lower_Met/Meteorological_Station/Level_1b/LowBull_Met_Site.txt site .

Additional metadata are available in the https://eng.ucmerced.edu/snsjho/files/MHWG/Field/Southern_Sierra_CZO_KREW/Bull_Creek_Lower_Met/Meteorological_Station/Level_1b parent directory of this dataset, such as site properties, instrumentation, and processing notes.

Data has been processed by NODC to the NODC standard Bathythermograph (MBT) (C128) format. The C128 format is used for temperature-depth profile data obtained using the mechanical bathythermograph (MBT) instrument. The maximum depth of MBT observations is approximately 285 m. Therefore, MBT data are useful only in studying the thermal structure of the upper layers of the ocean. Cruise information, date, position, and time are reported for each observation. The data record comprises pairs of temperature-depth values. Temperature data in this file are recorded at uniform 5 m depth intervals.

Bull trout (Salvelinus confluentus), listed as threatened under the Endangered Species Act, are among the more thermally sensitive of coldwater species in North America. The Boise River upstream of Arrowrock Dam in southwestern Idaho (including Arrowrock Reservoir) provides habitat for one of the southernmost populations of bull trout. The presence of the species in Arrowrock Reservoir poses implications for dam and reservoir operations. From 2011 to 2014, the Bureau of Reclamation and the U.S. Geological Survey collected fish telemetry data to improve understanding of bull trout distribution and movement in Arrowrock Reservoir and in the upper Boise River tributaries. The U.S. Geological Survey compiled the telemetry (fish location) data, along with reservoir elevation, river discharge, precipitation, and water-quality data in a geodatabase. The geodatabase includes metadata compliant with Federal Geographic Data Committee content standards. Reclamation plans to incorporate the data in a decision-support tool for reservoir management.

Description of the INSPIRE Download Service (predefined Atom): Development plan “In the bull garden/on the wooden path, 1st change” of the municipality of Hungenroth — The link(s) for downloading the records is/are generated dynamically from Get Map Calling a WMS interface

We used field surveys to compare coarse filter-large water volume samples (hereafter large volume filter samples) vs. fine filter-small water volume samples (hereafter small volume filter samples) for detection and quantification of bull trout (Salvelinus confluentis). We collected eDNA water samples in 2016 from three long-term fish monitoring sites in tributary streams (~ 2nd order) in the Flathead River, MT with low densities (less than 1 fish per 100 m2) of juvenile bull trout We report the quantity of bull trout DNA detected.

This dataset provides information about the number of properties, residents, and average property values for Bull Run cross streets in Leesburg, FL.

This dataset provides information about the number of properties, residents, and average property values for Bull Run cross streets in Madison, WI.

Croatia Abattoirs Production: Livestock: Net Weight: Cattle: Bulls data was reported at 2,102.000 Ton in Feb 2025. This records a decrease from the previous number of 2,120.000 Ton for Jan 2025. Croatia Abattoirs Production: Livestock: Net Weight: Cattle: Bulls data is updated monthly, averaging 2,125.500 Ton from Jan 2009 (Median) to Feb 2025, with 194 observations. The data reached an all-time high of 3,138.000 Ton in Aug 2011 and a record low of 1,497.000 Ton in Jan 2009. Croatia Abattoirs Production: Livestock: Net Weight: Cattle: Bulls data remains active status in CEIC and is reported by Croatian Bureau of Statistics. The data is categorized under Global Database’s Croatia – Table HR.B017: Abattoirs Production.

This dataset provides information about the number of properties, residents, and average property values for Bull Mountain Road cross streets in Del Rio, TN.

This feature class represents the end-of-century (2070-2099) scenario for bull trout, derived from the Climate Shield fish distribution models. These models provide stream-specific probabilistic predictions about the occurrence of juvenile bull trout and cutthroat trout in association with three different scenarios for climate change and brook trout invasions. These datasets indicate all potential cold-water habitats less than 11 degrees Celsius. The attribute fields BT_0BRK - BT_100BRK indicate the probabilities of bull trout occurrence within a cold-water habitat based on the prevalence of brook trout at 0%, 25%, 50%, 75%, or 100% of the sites within a habitat. The probabilities were predicted using the Climate Shield native trout models developed from known species occurrence in greater than 500 cold-water streams. The stream centerlines were based on the National Hydrography Dataset (NHD) but were modified for purposes of modeling and cross-walking to other datasets.

About this dataset

Context

The dataset tabulates the data for the Bulls Gap, TN population pyramid, which represents the Bulls Gap population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Bulls Gap, TN, is 28.0.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Bulls Gap, TN, is 36.3.
• Total dependency ratio for Bulls Gap, TN is 64.3.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Bulls Gap, TN is 2.8.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the Bulls Gap population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Bulls Gap for the selected age group is shown in the following column.
• Population (Female): The female population in the Bulls Gap for the selected age group is shown in the following column.
• Total Population: The total population of the Bulls Gap for the selected age group is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Bulls Gap Population by Age. You can refer the same here

United States PPI: Farm Products: Slaughter Livestock: Cattle: Cows and Bulls data was reported at 129.200 1982=100 in Oct 2018. This records a decrease from the previous number of 137.000 1982=100 for Sep 2018. United States PPI: Farm Products: Slaughter Livestock: Cattle: Cows and Bulls data is updated monthly, averaging 88.200 1982=100 from Jan 1947 (Median) to Oct 2018, with 862 observations. The data reached an all-time high of 269.700 1982=100 in Sep 2014 and a record low of 21.100 1982=100 in Nov 1953. United States PPI: Farm Products: Slaughter Livestock: Cattle: Cows and Bulls data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.I017: Producer Price Index: By Commodities.

Bull data summary statistics from the list of active AI Holstein dairy bulls available in the United States as of October 27, 2017.

These data were automated to provide an accurate high-resolution historical shoreline of Bull Bay, South Carolina suitable as a geographic information system (GIS) data layer. These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://www.fisheries.noaa.gov/inport/item/39808

518 Global import shipment records of Bull with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.