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50 results for “Pinus ponderosa”

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zenodo32/100

Fig. 2 in Detailed characterization of Pinus ponderosa sporopollenin by infrared spectroscopy

Fig. 2. Examples of (a) α-pyrone biosynthesis in the exine and (b) carotenoids that may be oxidatively polymerized to form sporopollenin according to the hypothesis of Brooks and Shaw (1968).

opennotspecifiedFeb 2020View details →
zenodo32/100

Fig. 7 in Detailed characterization of Pinus ponderosa sporopollenin by infrared spectroscopy

Fig. 7. Scheme depicting the synthesis of acetonides (cyclic ketals) from 1,2- or 1,3-diols naturally present in sporopollenin, followed by hydrolysis under acidic conditions. This process corresponds to the spectroscopic changes observed in Figure S21.

opennotspecifiedFeb 2020View details →
zenodo32/100

Fig. 1 in Detailed characterization of Pinus ponderosa sporopollenin by infrared spectroscopy

Fig. 1. Scheme depicting enzymes involved in sporopollenin synthesis and selected degradation products. (a) Mid-chain oxidation of fatty acid substrates by CYP703A2, ω-oxidation by CYP704B1 and CYP704B2, and reduction of an activated fatty acid substrate by MS2. (b) Proposed sporopollenin monomer identified by Li et al. (2019). (c) The sporopollenin degradation products trans-4-hydroxycinnamic acid, trans-4-hydroxy-3-methoxycinnamic acid, and 7-hydroxyhexadecanedioic acid.

opennotspecifiedFeb 2020View details →
zenodo32/100

Fig. 8 in Detailed characterization of Pinus ponderosa sporopollenin by infrared spectroscopy

Fig. 8. ATR-FTIR spectra of (i) enzymatically-isolated sporopollenin, (ii) trans- 4-hydroxycinnamic acid, (iii) trans-4-hydroxy-3-methoxycinnamic acid, (iv) trans-4-methoxycinnamic acid, and (v) methyl trans-4-hydroxycinnamate. Original data files are deposited with the accompanying Data in Brief article (Lutzke et al., 2019).

opennotspecifiedFeb 2020View details →
zenodo32/100

Fig. 9 in Detailed characterization of Pinus ponderosa sporopollenin by infrared spectroscopy

Fig. 9. The relationship between IR band assignments and hypothesized structural components of sporopollenin.

opennotspecifiedFeb 2020View details →
zenodo32/100

Fig. 5 in Detailed characterization of Pinus ponderosa sporopollenin by infrared spectroscopy

Fig. 5. ATR-FTIR spectra of (i) enzymatically-isolated sporopollenin, (ii) sporopollenin isolated by acidolysis with phosphoric acid, and (iii) sporopollenin isolated by acetolysis. Distinct bands or shoulders with diagnostic importance are assigned a unique identifier in Table 3. Original data files are deposited with the accompanying Data in Brief article (Lutzke et al., 2019).

opennotspecifiedFeb 2020View details →
dryad32/100

Phylogenomics in the hard pines (Pinus subsection Ponderosae; Pinaceae) confirms paraphyly in Pinus ponderosa, and places Pinus jeffreyi with the California big cone pines

Open the record for dataset details and reuse information.

publicFeb 2022View details →
dryad32/100

Data from: Pinus ponderosa alters nitrogen dynamics and diminishes the climate footprint in natural ecosystems of Patagonia

Open the record for dataset details and reuse information.

publicFeb 2015View details →
dryad32/100

Data from: Intraspecific niche models for ponderosa pine (Pinus ponderosa) suggest potential variability in population-level response to climate change.

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publicMar 2018View details →
zenodo28/100

Fig. 3 in Detailed characterization of Pinus ponderosa sporopollenin by infrared spectroscopy

Fig. 3. Model compounds used in the infrared characterization of sporopollenin.

opennotspecifiedFeb 2020View details →

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International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

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Last verified 2026-04-29Open record