DataSeeds.AI Sample Dataset (DSD)

  Dataset Summary

The DataSeeds.AI Sample Dataset (DSD) is a high-fidelity, human-curated computer vision-ready dataset comprised of 7,772 peer-ranked, fully annotated photographic images, 350,000+ words of descriptive text, and comprehensive metadata. While the DSD is being released under an open source license, a sister dataset of over 10,000 fully annotated and segmented images is available for immediate commercial licensing, and the… See the full description on the dataset page: https://huggingface.co/datasets/Dataseeds/DataSeeds.AI-Sample-Dataset-DSD.

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Global forests are increasingly lost to climate change, disturbance, and human management. Evaluating forests' capacities to regenerate and colonize new habitats has to start with the seed production of individual trees and how it depends on nutrient access. Studies on the linkage between reproduction and foliar nutrients are limited to a few locations and few species, due to the large investment needed for field measurements on both variables. We synthesized tree fecundity estimates from the Masting Inference and Forecasting (MASTIF) network with crown nutrient concentrations from hyperspectral remote sensing at the National Ecological Observatory Network (NEON) across the United States. We evaluated the relationships between seed production and foliar nutrients for 56,544 tree-years from 26 species at individual and community scales. We found a prevalent association between high foliar phosphorous (P) concentration and low individual seed production (ISP) at the continental scale. Wit..., The fecundity data from the 13 NEON sites are part of the Masting Inference and Forecasting (MASTIF) network. MASTIF includes two types of raw data, seed traps (ST) and crop counts (CC). ST data were the number of seeds from seed traps associated with individual trees from the mapped stands at the 13 NEON sites. Data compilation, modeling, and computation are open-access in the R package MASTIF, with more details provided in Clark et al., 2019, 2021. We generated wall-to-wall foliar nutrient maps following Wang et al., 2020 by applying the Partial Least Squares Regression (PLSR) coefficients to the hyperspectral surface reflectance data. The coefficients are available at https://ecosml.org/package/github/EnSpec/NEON-Trait-Models. Five nutrients, including Nitrogen (N), Phosphorus (P), Potassium (K), Magnesium (Mg), and Calcium (Ca), were analyzed based on their important roles in plant reproduction. The unit of the nutrient is mg per g., , # Data for: Remotely sensed crown nutrient concentrations affect forest reproduction across the United States

The nutrient data are derived from hyperspectral remote sensing, where each column contains a specific nutrient concentration from the Partial Least Squares Regression (PLSR) model. Each row is a NEON plot. The fecundity data are derived from the Masting Inference and Forecasting (MASTIF) network, where each column contains a specific species and each row is a NEON site. The code provides instructions on how PLSR can be used and how a generalized Joint Attribute Model (GJAM) is fitted to the two data. The code can be executed on R studio.Â

Description of the data and file structure

There are two CSV files, where nutrient variables (i.e., the predictors, unit mg/g) and fecundity estimation (i.e., the response, unit g per m^2) are saved in each file.

The five nutrient predictors include Nitrogen (N), Phosphorus (P), Potassium (K), Magnesium (Mg), and Calcium (Ca).

The...

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Seed retrieval dataSeed retrieval dataRetrieval data.xlsxGermination dataSeed germination data

The purpose of this experiment is to examine the importance among species differences in seed mass in determining the possibility of seedling establishment under different competitive environments. This experiment was set up in Field 61.

Thirty species of seeds found at Cedar Creek spanning the observed range of seed masses were used. Seeds of a single species were added to three different types of .5m x .5m plot: 1) control (C), 2) above ground vegetation removed (disked = D), and 3) above ground vegetation removed and seeds removed from the seed bank (B = methyl bromide). Seeds were removed from the seed bank by fumigation with methyl bromide. All treatments were replicated three times, for each spe4cies, and for a no-seed-added control. Seeds were added in October, 1989.

Extracted data used in meta-analysis on the effects of seed enhancement technologies in native grasses globally.

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1. Pre-dispersal seed predation is sometimes considered unlikely to dramatically affect plant population growth because plants are generally expected to produce more seeds than there are safe sites for germination. Lupinus constancei is a rare herb of limited distribution, with fewer than 400 reproductive individuals restricted to a single square kilometre of north-western California, USA. In addition to the vulnerability resulting from its extremely small population size, L. constancei faces heavy seed predation by small mammals.
2. As a stop-gap measure to prevent population decline, managers began covering a large number of the reproductive plants with herbivory exclosures in 2003, but the population-level effects of seed predation and the effectiveness of this caging treatment were unknown. We used ten years of demographic data to compare the population dynamics of plants inside herbivory exclosures with those sustaining ambient rodent seed predation.
3. We found that the sto...

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Seed retrieval and gut morphology dataSeed retrieval data of three separate feeding trials in mallards before and after adaptation to experimental diets. Additionally includes post-experiment size measurements of mallard digestive tracts.Dataset_Kleyheeg_et_al_2018_Ecology_Evolution.xls

No description is available. Visit https://dataone.org/datasets/knb-lter-cdr.64066.123 for complete metadata about this dataset.

Global trade data of Seed under 17049099, 17049099 global trade data, trade data of Seed from 80+ Countries.

Global trade data of Seed for sowing under 1103199009, 1103199009 global trade data, trade data of Seed for sowing from 80+ Countries.