.CROWN Whois Database, discover comprehensive ownership details, registration dates, and more for .CROWN TLD with Whois Data Center.

The Tallo database (v1.0.0) is a collection of 498,838 georeferenced and taxonomically standardized records of individual trees for which stem diameter, height and/or crown radius have been measured. Data were compiled from 61,856 globally distributed sites and include measurements for 5,163 tree species.

For a full description of the database, see: Jucker et al. (2022) Tallo – a global tree allometry and crown architecture database. Global Change Biology, https://doi.org/10.1111/gcb.16302. If using the Tallo database in your work please cite the original publication listed above, as well as this repository using the corresponding DOI (10.5281/zenodo.6637599).

9891 Global import shipment records of Crown with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

Timeseries data from 'Crown Point ' (cnfaic_sn193)

Data CitationPlease cite this dataset as follows:Vasquez, V., Cushman, K., Ramos, P., Williamson, C., Villareal, P., Gomez Correa, L. F., & Muller-Landau, H. (2023). Barro Colorado Island 50-ha plot crown maps: manually segmented and instance segmented. (Version 2). Smithsonian Tropical Research Institute. https://doi.org/10.25573/data.24784053This data is licensed as CC BY 4.0 and is thus freely available for reuse with proper citation. We ask that data users share any resulting publications, preprints, associated analysis code, and derived data products with us by emailing mullerh@si.edu. We are open to contributing our expert knowledge of the study site and datasets to projects that use these data; please direct queries regarding potential collaboration to Vicente Vasquez, vasquezv@si.edu, and Helene Muller-Landau, mullerh@si.edu.Note that this dataset is part of a collection of Panama UAV data on Smithsonian Figshare, which can be viewed at https://smithsonian.figshare.com/projects/Panama_Forest_Landscapes_UAV/115572Additional information about this research can be found at the Muller-Landau lab web site at https://hmullerlandau.com/All required code is freely available at https://github.com/P-polycephalum/ForestLandscapes/blob/main/LandscapeScripts/segmentation.py and it can be cited as:Vicente Vasquez. (2023). P-polycephalum/ForestLandscapes: segmentwise (v0.0.2-beta). Zenodo. https://doi.org/10.5281/zenodo.10380517Data DescriptionThis dataset is part of a larger initiative monitoring forests in Panama using drones (unoccupied aerial vehicles), an initiative led by Dr. Helene Muller-Landau at the Smithsonian Tropical Research Institute. As part of this initiative, we have been collecting repeat imagery of the 50-ha forest dynamics plot on Barro Colorado Island (BCI), Panama, since October 2014 (see Garcia et al. 2021a, b for data products for 2014-2019).Contained within this dataset are two sets of field-derived crown maps, presented in both their raw and improved versions. The 2021 crown mapping campaign was overseen by KC Cushman, accompanied by field technician Pablo Ramos and Paulino Villarreal. Additionally, Cecilia Williamson and KC Cushman reviewed polygon quality and made necessary corrections. Image data occurred on August 1, 2020, utilizing a DJI Phantom 4 Pro at a resolution of 4cm per pixel. A total of 2454 polygons were manually delineated, encompassing insightful metrics like crown completeness and liana load.The 2023 crown mapping campaign, led by Vicente Vasquez and field technicians Pablo Ramos, Paulino Villarreal, involved quality revisions and corrections performed by Luisa Fernanda Gomez Correa and Vicente Vasquez. Image data collection occurred on September 29, 2022, utilizing a DJI Phantom 4 Pro drone at a 4cm per pixel resolution. The 2023 campaign integrated model 230103_randresize_full of the detectree2 model garden (Ball, 2023). Tree crown polygons were generated pre-field visit, with those attaining a field validation score of 7 or higher retained as true tree crowns.The data collection forms are prepared using ArcGIS field maps. The creator of the data forms uses the spatial points from the trees in the ForestGeo 50-ha censuses to facilitate finding the tree tags in the field (Condit et al., 2019). The field technicians confirm that the tree crown is visible from the drone imagery, they proceed to collect variables of interest and delineate the tree crown manually. In the case of the 2023 field campaign, the field technicians were able to skip manual delineation when the polygons generated by 230103_randresize_full were evaluated as true detection.The improved version of the 2023 and 2021 crown map data collection takes as input the raw crown maps and the globally aligned orthomosaics to refine the edges of the crown. We use the model SAM from segment-anything module developed my Meta AI (Krillov, 2023). We adapted the use of their instance segmentation algorithm to take geospatial imagery in the form of tiles. We inputted multiple bounding boxes in the form of CPU torch tensors for each of the files. Furthermore, we perform several tasks to clean the crowns and remove the polygons overlaps to avoid ambiguity. This results in a very well delineated crown map with no overlapping between tree crowns. Despite our diligent efforts in detecting, delineating, and evaluating all visible tree crowns from drone imagery, this dataset exhibits certain limitations. These include missing tags denoted as -9999, erroneous manual delineations or instance segmentation of tree crown polygons, duplicated tags, and undetected tree crowns. These limitations are primarily attributed to human error, logistical constraints, and the challenge of confirming individual tree crown emergence above the canopy. In numerous instances, particularly within densely vegetated areas, delineating polygons and assigning tags to numerous small trees posed significant challenges.MetadataThe dataset comprises four sets of crown maps bundled within .zip files, adhering to the naming convention MacroSite_plot_year_month_day_crownmap_type. As an illustration, a sample file name follows the structure: BCI_50ha_2020_08_01_improved.For a comprehensive understanding of variable nomenclature within each shapefile, exhaustive details are provided in the file named variables_description.csv. Additionally, our dataset incorporates visualization figures corresponding to both raw and refined crown maps.The raw crown maps contain:A GeoTiff-formatted raster image reflecting the image acquisition date during field data collection.The tiles folder housing all tiles utilized for instance segmentation.The most recent version of the raw crown map manually revised and retaining its original naming scheme.A reformatted iteration of the raw crown map, involving column renaming and the reprojection of its coordinate reference system.The improved crown maps contain:"_crownmap_segmented.shp" version: This subproduct has all polygons segmented via the SAM model from the segment-anything process."_crownmap_cleaned.shp" version: This subproduct features one polygon allocated per GlobalID, specifically the one with the highest segment-anything score."_crownmap_avoidance.shp" version: This subproduct is devoid of any overlapping polygons."_crownmap_improved.shp" version: The outcome of the instance crown segmentation workflow, incorporating all original crown map fields.Author contributionsVV wrote the code for standardized workflow for processing, alignment, and segmentation of the tree crowns. MG and MH led the drone imagery collection. HCM conceived the study, wrote the grant proposals to obtain funding, and supervised the research.AcknowledgmentsVicente Vasquez and KC Cushman created the field map forms and coordinated the 2023 and 2021 crown map field campaign. Milton Solano assistance with the ArcGIS platform. Field technicians Pablo Ramos, Paulino Villareal, and Melvin Hernandez delineated and evaluated tree crown polygons. Luisa Gomez-Correa and Cecilia Williamson assisted with quality assurance and quality control after field data collection. Milton Garcia and additional interns in the Muller-Landau lab assisted with drone data collection. Funding and/or in-kind support was provided by the Smithsonian Institution Scholarly Studies grant program (HCM), the Smithsonian Institution Equipment fund (HCM), Smithsonian ForestGEO, the Smithsonian Tropical Research Institute.ReferencesBall, J.G.C., Hickman, S.H.M., Jackson, T.D., Koay, X.J., Hirst, J., Jay, W., Archer, M., Aubry-Kientz, M., Vincent, G. and Coomes, D.A. (2023), Accurate delineation of individual tree crowns in tropical forests from aerial RGB imagery using Mask R-CNN. Remote Sens Ecol Conserv. 9(5):641-655. https://doi.org/10.1002/rse2.332Condit, Richard et al. (2019). Complete data from the Barro Colorado 50-ha plot: 423617 trees, 35 years [Dataset]. Dryad. https://doi.org/10.15146/5xcp-0d46Garcia, M., J. P. Dandois, R. F. Araujo, S. Grubinger, and H. C. Muller-Landau. 2021b. Surface elevation models and associated canopy height change models for the 50-ha plot on Barro Colorado Island, Panama, for 2014-2019. . In Smithsonian Figshare, edited by S. T. R. Institute. https://doi.org/10.25573/data.14417933Kirillov, A., Mintun, E., Ravi, N., Mao, H., Rolland, C., Gustafson, L., Xiao, T., Whitehead, S., Berg, A. C., Lo, W.-Y., Dollár, P., & Girshick, R. (2023). Segment Anything. arXiv preprint arXiv:2304.02643.Scheffler D, Hollstein A, Diedrich H, Segl K, Hostert P. AROSICS: An Automated and Robust Open-Source Image Co-Registration Software for Multi-Sensor Satellite Data. Remote Sensing. 2017; 9(7):676.

This repository presents data on tree and crown dimension collected on four plots along an elevation gradient in the French Alps. These data have been collected in the framework of the OSUG project MONTANE : Multi-trophic biodiversity and multi-functionality across Alpine Environments. The objective of this project was to describe the forest three-dimensional structure and tree species diversity on several selected Orchamp gradients (see more details in link). In second step this field data were used to calibrate remote sensing methods to describe forest structure and composition at large scale at the individual level with lidar and hyperspectral data (see Tusa et al. 2020). See more information about the protocol at https://forgemia.inra.fr/georges.kunstler/montane_data#

Code and data for a multi-species crown width model for subtropical natural forests；This dataset and the accompanying R scripts support the analyses in the manuscript. The study was conducted in Damingshan, Guangxi, and includes data on 1,802 trees, covering tree height, crown width, competition indices, species functional traits, and environmental factors. The provided code includes the main scripts used for crown width modeling in the study.

Details of the factors affecting judge's sentencing decisions at the Crown Court

Crown fire potential was modeled using FlamMap, an interagency fire behavior mapping and analysis program that computes potential fire behavior characteristics. The tool uses eight spatial input data layers to represent biophysical conditions and weather parameters to simulate wind and fuel moisture conditions. The spatial input layers were created by Landscape Fire and Resource Management Planning Tools Project (LANDFIRE) and include elevation, slope, aspect, canopy closure, fuel model 40, canopy base height, and canopy bulk density. The weather parameters were collected from the RAWS weather stations in New Mexico. Crown fire potential was modeled by individual fire zones, created by the Southwest Coordination Center (SWCC) then combined using the mosaic to new raster function in ArcGIS. The weather data for the northern and western fire zones (101, 102, 103, 109, 110, and 113) represents the average early summer (May and June ) conditions; the weather data for the eastern fire zones (104, 108, 114, 115) represents the average early spring (March and April ) conditions; and the weather data for the southern and central fire zones (105, 106, 107, 111, 112) represents the average spring (April and May) conditions. The Flam Map model result classifies crown fire potential into three categories: surface fire, passive crown fire, and active crown fire. The technical team recommended that the result be grouped into two categories: 1. areas with no crown fire potential and 2. areas with crown fire potential.

Data of the CROWN Challenge, including the training data, manual annotations, and additional manual annotations. The purpose of this challenge is to compare automatic methods for classification of the circle of Willis configuration and quantification of the CoW major artery diameters and bifurcation angles on 3D time-of-flight Magnetic Resonance Angiography (TOF-MRA) images. Before requesting access to the data, please register on https://crown.isi.uu.nl/ and send the signed confidentiality agreement to crown@isi.uu.nl.

46578 Global export shipment records of Dental Crown with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

Historical price and volatility data for Crown by Third Time Games in Russian Rubles across different time periods.

This dataset provides information about the number of properties, residents, and average property values for Crown Point cross streets in Pittsford, VT.

This dataset provides information about the number of properties, residents, and average property values for Iron Crown Court cross streets in Columbia, MD.

This dataset provides information about the number of properties, residents, and average property values for Crown Street cross streets in Lead, SD.

📈 Daily Historical Stock Price Data for Crown Castle Inc. (1998–2025)

A clean, ready-to-use dataset containing daily stock prices for Crown Castle Inc. from 1998-08-18 to 2025-05-28. This dataset is ideal for use in financial analysis, algorithmic trading, machine learning, and academic research.

  🗂️ Dataset Overview

Company: Crown Castle Inc. Ticker Symbol: CCI Date Range: 1998-08-18 to 2025-05-28 Frequency: Daily Total Records: 6736 rows (one per trading day)… See the full description on the dataset page: https://huggingface.co/datasets/khaledxbenali/daily-historical-stock-price-data-for-crown-castle-inc-19982025.

📈 Daily Historical Stock Price Data for Crown Holdings, Inc. (1980–2025)

A clean, ready-to-use dataset containing daily stock prices for Crown Holdings, Inc. from 1980-03-17 to 2025-05-28. This dataset is ideal for use in financial analysis, algorithmic trading, machine learning, and academic research.

  🗂️ Dataset Overview

Company: Crown Holdings, Inc. Ticker Symbol: CCK Date Range: 1980-03-17 to 2025-05-28 Frequency: Daily Total Records: 11393 rows (one per trading… See the full description on the dataset page: https://huggingface.co/datasets/khaledxbenali/daily-historical-stock-price-data-for-crown-holdings-inc-19802025.

Photo-interpretation of high-resolution aerial imagery was used to delineate individual stems of select woody species and to map vegetation communities at Palmyra Atoll, USA. Imagery collected using Unoccupied Aerial Systems in October, 2016, as well as derived elevation and mosaicked orthoimagery, were used to delineate individual crowns of coconut, Pisonia and other selected woody species that comprise the bulk of the canopy on the island. National Vegetation Classification System vegetation associations and other vegetation communities were also mapped. Finally, the high tide line was delineated to provide an updated map and estimate of area for terrestrial resources.

📈 Daily Historical Stock Price Data for Crown Crafts, Inc. (2003–2025)

A clean, ready-to-use dataset containing daily stock prices for Crown Crafts, Inc. from 2003-10-07 to 2025-05-28. This dataset is ideal for use in financial analysis, algorithmic trading, machine learning, and academic research.

  🗂️ Dataset Overview

Company: Crown Crafts, Inc. Ticker Symbol: CRWS Date Range: 2003-10-07 to 2025-05-28 Frequency: Daily Total Records: 5445 rows (one per trading day)… See the full description on the dataset page: https://huggingface.co/datasets/khaledxbenali/daily-historical-stock-price-data-for-crown-crafts-inc-20032025.

About this dataset

Context

The dataset tabulates the Crown City 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 Crown City. The dataset can be utilized to understand the population distribution of Crown City by age. For example, using this dataset, we can identify the largest age group in Crown City.

Key observations

The largest age group in Crown City, OH was for the group of age 5 to 9 years years with a population of 68 (12.64%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Crown City, OH was the 85 years and over years with a population of 6 (1.12%). 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 Crown City is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Crown City 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 Crown City Population by Age. You can refer the same here