This module utilizes a user-friendly database exploring data selection, box-and-whisker plot, and correlation analysis. It also guides students on how to make a poster of their data and conclusions.

The box and whisker plots were used to check for the variability between self reports activities and accelerometer blocks of activities

Source data for the box plots in the study titled "Metagenome-Assembled Genomes and Gene Catalog from the Chicken Gut Microbiome Aid in Deciphering Antibiotic Resistomes".

The purpose of the SNF study was to improve our understanding of the relationship between remotely sensed observations and important biophysical parameters in the boreal forest. A key element of the experiment was the development of methodologies to measure forest stand characteristics to determine values of importance to both remote sensing and ecology. Parameters studied were biomass, leaf area index, above ground net primary productivity, bark area index and ground coverage by vegetation. Thirty two quaking aspen and thirty one black spruce sites were studied. Sites were chosen in uniform stands of aspen or spruce. Aspen stands were chosen to represent the full range of age and stem density of essentially pure aspen, of nearly complete canopy closure, and greater than two meters in height. Spruce stands ranged from very sparse stands on bog sites, to dense, closed stands on more productive peatlands. Diameter breast height (dbh), height of the tree and height of the first live branch were measured. For each plot, a two meter diameter subplot was defined at the center of each plot. Within this subplot, the percent of ground coverage by plants under one meter in height was determined by species. For the aspen sites, a visual estimation of the percent coverage of the canopy, subcanopy and understory vegetation was made in each plot. Dimension analysis of sampled trees were used to develop equations linking the convenience measurements taken at each site and the biophysical characteristics of interest (for example, LAI or biomass). Fifteen mountain maple and fifteen beaked hazelnut trees were also sampled and leaf area determined. These data were used to determine understory leaf area. The total above-ground biomass was estimated as the sum of the branch and bole biomass for a set of sacrificed trees. Total branch biomass was the sum of the estimated biomass of the sampled and unsampled branches. Total biomass is the sum of the branch and bole biomass. Net primary productivity was estimated from the average radial growth over five years measured from the segments cut from the boles and the terminal growth measured as the height increase of the tree. The models were used to back project five years and determine biomass at that time. The change in biomass over that time was used to determine the productivity. Measurements of the sacrificed trees were used to develop relationships between the biophysical parameters (biomass, leaf area index, bark area index and net primary productivity) and the measurements made at each site (diameter at breast height, tree height, crown depth and stem density). These relationships were then used to estimate biophysical characteristics for the aspen and spruce study sites that are provided in this data set. Biomass density was highest in stands of older, larger Aspen trees and decreased in younger stands with smaller, denser stems. LAI remains relatively constant once a full canopy is established with aspen's shade intolerance generally preventing development of LAI greater than two to three. Biomass density and projected LAI were much more variable for spruce than aspen. Spruce LAI and biomass density have a tight, nearly linear relationship. Stand attributes are often determined by site characteristics. However, differences between maximum LAI for aspen and spruce may also be related to differences in the leaf distribution within the canopy.

This data set of leaf, stem, and root biomass for various plant taxa was compiled from the primary literature of the 20th century with a significant portion derived from Cannell (1982). Recent allometric additions include measurements made by Niklas and colleagues (Niklas, 2003). This is a unique data set with which to evaluate allometric patterns of standing biomass within and across the broad spectrum of vascular plant species. Despite its importance to ecology, global climate research, and evolutionary and ecological theory, the general principles underlying how plant metabolic production is allocated to above- and below-ground biomass remain unclear. The resulting uncertainty severely limits the accuracy of models for many ecologically and evolutionarily important phenomena across taxonomically diverse communities. Thus, although quantitative assessments of biomass allocation patterns are central to biology, theoretical or empirical assessments of these patterns remain contentious.

The Box Plot Experiment in Grossbeeren was set up in 1972 to investigate the effect of different fertilization strategies within an irrigated vegetable crop rotation system for three different soils. Therefore, this vegetable long-term fertilization experiment can be used to investigate different plant-soil-systems under the same climatic conditions. The experimented was halted in 2022. The experimental site (52°21’01.30’’ E, 13°19’05.47’’ N, 50 m a.s.l.) is located in the transition zone between the more maritime-affected Northern German Plain and the continental climate of the European mainland. Weather data were collected in an agrometeorological station close to the experimental area. The long-term means (1991-2020) for air temperature and annual precipitation are 9.7 °C and 492 mm. The single plots are quadratic concrete boxes with walls of 10 cm thickness, a surface area of 4 m2 and a depth of 75 cm. The upper 50 cm are filled with the tested soils; the lower 25 cm comprises a coarse-sandy drainage layer. The three soil types are Arenic Luvisol (weak loamy sand), Gleyic Fluvisol (heavy sandy loam) and Luvic-Phaeozem (medium clayey silt) according to the World Reference Base – WRB (and the Bodenkundliche Kartieranleitung – KA4). Within 10 rotations, the vegetable species white cabbage (Brassica oleracea L. var. capitata f. alba), carrot (Daucus carota L.), cucumber (Cucumis sativus L.), leek (Allium porrum L.) and celery (Apium graveolens L. var. rapaceum Mill.) were cultivated. No celery was cultivated during the first rotation. The experiment consists of 12 fertilization treatments in different combinations of mineral N fertilization and organic amendments and as quadruplicate for each of the three soils. The experimental set-up scheme can be found in the supplementary material. Mineral N fertilizer was applied as calcium ammonium nitrate. Mineral P and K fertilization was uniform for all treatments. Total N and total C in soil, plant and organic amendments were determined using a CNS analyser VARIO El (Elemental Hanau) since 1995 and before by wet combustion with K2Cr2O7 und H2SO4. C and N in the soil samples and N in the plant samples were analysed annually. The C contents of the crop residues (leaf + stalk + root) of the five vegetable species were investigated irregularly. In autumn, the soil was annually dug up to 20 cm by using a spade. Weeds were removed by a combination of mechanical (cultivator, rake or hoe) and chemical measures. Insect protection nets, insecticides or fungicides were used where necessary. Approximately 150 mm per year was additionally irrigated with a sprinkler system. More details about the experiment’s description can be found in the supplementary material. Description of table 1

Related datasets are listed in the metadata element 'Related Identifier'. Dataset version 1.0

Figure Graph Question Box Table Symbols_2024high2_copy 2

## Overview

Figure Graph Question Box Table Symbols_2024high2_copy 2 is a dataset for object detection tasks - it contains Footer 2Zo5 annotations for 1,663 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).

Data used in box plots or bar charts that are not presented in S1–S6 Tables are shown. (XLSX)

50 years box plot experiment in Grossbeeren (1972 - 2022) - Variety.

50 years box plot experiment in Grossbeeren (1972 - 2022) - Fertilizer.

50 years box plot experiment in Grossbeeren (1972 - 2022) - Yield.

ABSTRACT The objectives of this work were to determine the optimum plot size for tomato seedlings by Hatheway’s method, using the Mestiço and Ozone cultivars, and verify the possibility to obtain the optimum plot size only by non-destructive characteristics. Non-destructives (aerial part height, stem diameter, number of leaves and leaf area) and destructives (aerial part dry matter, root dry matter, total dry matter and Dickson quality index) characteristics were evaluated. For each characteristic evaluated, experimental plans were simulated in a randomized block design with the combination of I treatments (I = 3, 4, 5, ..., 10, 15, 20 and 25) and R repetitions (R= 3, 4, 5, 6 and 7). The optimum plot size ranged according to the characteristic evaluated. Considering the number of treatments, repetitions and the same experimental accuracy, the stem diameter showed the highest size plot. Thus, the stem diameter can be used as a basis characteristic for the non-destructives characteristics, without the need to destroy the seedling.

50 years box plot experiment in Grossbeeren (1972 - 2022) - Test components (for statistical evaluation).

50 years box plot experiment in Grossbeeren (1972 - 2022) - Soil lab values.

The BOREAS TE-10 team collected several data sets in support of its efforts to characterize and interpret information on the reflectance, transmittance, gas exchange, chlorophyll content, carbon content, hydrogen content, and nitrogen content of boreal vegetation. This data set describes the relationship between sample location, age, chlorophyll content, and C-H-N concentrations at several sites in the SSA conducted during the growing seasons of 1994 and 1996.

50 years box plot experiment in Grossbeeren (1972 - 2022) - Climate data.

The BOREAS TE-09 team collected several data sets related to chemical and photosynthetic properties of leaves. This data set contains canopy biochemistry data collected in 1994 in the NSA at the YJP, OJP, OBS, BS and OA sites including biochemistry lignin, nitrogen, cellulose, starch, and fiber concentrations. These data were collected to study the spatial and temporal changes in the canopy biochemistry of boreal forest cover types and how a high-resolution radiative transfer model in the mid-infrared could be applied in an effort to obtain better estimates of canopy biochemical properties using remote sensing.

The leaf spectra datasets contain visible and near infrared reflectance spectra data for both fresh and dry leaf samples collected in the ACCP. These samples are from Blackhawk Island, WI, Harvard Forest, MA, Howland, ME, Jasper Ridge, CA field sites and the Douglas fir and bigleaf maple seedling canopy study sites. Data reported for each sample is absorbance [log(1/Reflectance)] from 400-2498nm at 2nm intervals and a resolution of 10nm. These data were collected for the purpose of determining the relationship of foliar chemical concentrations with visible and near infrared wavelength reflectance spectra.. Both multiple linear regression and partial least square regression techniques have been used to relate lab chemistry data to spectral reflectance. ORNL DAAC maintains information on the entire ACCP.

Knowledge of the optical properties of the components of the forest canopy is important to the understanding of how plants interact with their environment and how this information may be used to determine vegetation characteristics using remote sensing. During the summers of 1983 and 1984, samples of the major components of the boreal forest canopy (needles, leaves, branches, moss, litter) were collected in the Superior National Forest (SNF) of Minnesota and sent to the Johnson Space Center (JSC). At JSC, the spectral reflectance and transmittance characteristics of the samples were determined for wavelengths between .35 and 2.1 micrometers using the Cary-14 radiometer. This report presents plots of these data as well as averages to the Thematic Mapper Simulator (TMS) bands. There were two main thrusts to the SNF optical properties study. The first was to collect the optical properties of many of the components of the boreal forest canopy. The second goal of the study was to investigate the variability of optical properties within a species. The results of these studies allow a comparison of the optical properties of a variety of different species and a measure of the variability within species. These data provide basic information necessary to model canopy reflectance patterns.

The TGB-08 team collected data to investigate the controls over non-methane hydrocarbon (NMHC) fluxes from boreal forest tree species. This data set includes measurements of starch concentrations in foliar samples at mature Jack Pine and Black spruce sites. The two areas used in this research were in the Southern Study Area (SSA) of the BOREAS region: the SSA Old Jack Pine (OJP) and Old Black Spruce(OBS) tower-flux locations. These areas contained mature stands of jack pine and black spruce and were the focal sites in the BOREAS program for studies of biosphere/atmosphere exchange from these two habitat types. The OBS site is situated in a black spruce/sphagnum bog with the largest trees 155 years old and 10-15 m. tall. The OJP site is in a jack pine forest, 80 to 120 years old, which lies on a sandy bench of glacial outwash with the largest tree standing 15 m. tall. Temporally, the data cover the period of 24-May-94 to 19-Sep-94.