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39 results for “growing conditions”

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zenodo40/100

Fig. 2 in Characteristic Growing Parameters Of Small-Leaved Lime And Norway Maple Stands In The Climatic Conditions Of Latvia

Fig. 2. Small leaved lime and Norway maple area dynamics in Latvia in 2001–2017 (http:// www.vmd.gov.lv/ Digital Forest Map Database of the State Forest Register [Accessed on March 2017]).

opencc-by-4.0Dec 2019View details →
zenodo40/100

Fig. 3 in Characteristic Growing Parameters Of Small-Leaved Lime And Norway Maple Stands In The Climatic Conditions Of Latvia

Fig. 3. Site location of sample plots of small leaved lime and Norway maple stands (Legend: L 15 (plantation forest); L 16 (plantation forest); L 17 (plantation forest); L 80 (forest stand); L 90 (forest stand); L 115 (forest stand) – lime/age; M 12 – plantation; M 12* – forest stand; M 55 (naturally established plantation forest); M (forest stand); M (forest stand) – lime/age; maple/age).

opencc-by-4.0Dec 2019View details →
zenodo36/100

Fig.4 in Effect Ofan Origin Extractstoyield Of Oatsunder Conventional And Organic Growing Conditions

Fig.4. Yield of oats in year 2012 under organic growing conditions.

opencc-by-4.0Dec 2013View details →
zenodo36/100

Fig.2 in Effect Ofan Origin Extractstoyield Of Oatsunder Conventional And Organic Growing Conditions

Fig.2. Yield of oats in year 2011 under organic growing conditions.

opencc-by-4.0Dec 2013View details →
dryad36/100

Data From: Effects of measurement methods and growing conditions on phenotypic expression of photosynthesis in seven diverse rice genotypes

<p class="p1"><strong>Introduction: </strong>Light response curves are widely used to quantify phenotypic expression of photosynthesis by measuring a single sample and sequentially altering light intensity within a chamber (sequential method) or by measuring different samples that are each acclimated to a different light level (nonsequential method). Both methods are often conducted in controlled environments to achieve steady-state results, and neither method involves equilibrating the entire plant to the speci<span class="s1">fi</span>c light level.</p> <p class="p1"><strong>Methods: </strong>Here, we compare sequential and non-sequential methods in controlled (greenhouse), semi-controlled (plant grown in growth chamber and acclimated to <span class="s1">fi</span>eld conditions 2-3 days before measurements), and <span class="s1">fi</span>eld environments. We selected seven diverse rice genotypes (<span class="s1">fi</span>ve genotypes from the USDA rice minicore collection: 310588, 310723, 311644, 311677, 311795; and 2 additional genotypes: Nagina 22 and Zhe 733) to understand (1) the limitations of different methods, and (2) phenotypic plasticity of photosynthesis in rice grown under different environments.</p> <p class="p1"><strong>Results:</strong> Our results show that the non-sequential method was time-ef<span class="s1">fi</span>cient and captured more variability of <span class="s1">fi</span>eld conditions than the sequential method, but the model parameters were generally similar between the two methods except for the maximum photosynthesis rate (A<sub>max</sub>). A<span class="s2"><sub>max</sub> </span>was signi<span class="s1">fi</span>cantly lower across all genotypes under greenhouse conditions compared to the growth chamber and <span class="s1">fi</span>eld conditions consistent with prior work, but surprisingly the apparent quantum yield (α) and the mitochondrial respiration (R<sub><span class="s2">d</span></sub>) were generally not different among growing environments or measurement methods.</p> <p class="p1"><strong>Discussion: </strong>Our results suggest that <span class="s1">fi</span>eld conditions are best suited to quantify phenotypic differences across different genotypes, and the nonsequential method was better at capturing the variability in photosynthesis.</p>

opencc-zeroSep 2023View details →
dryad36/100

Data From: Effects of measurement methods and growing conditions on phenotypic expression of photosynthesis in seven diverse rice genotypes

Open the record for dataset details and reuse information.

publicSep 2023View details →
dryad36/100

Long-term evidence shows crop-rotation diversification increases agricultural resilience to adverse growing conditions in North America

Open the record for dataset details and reuse information.

publicMar 2020View details →
zenodo32/100

FIGURE. Drosera hirtella (a–i): a, b, c, habit of the "type morphotype"; d, habit of the "western morphotype"; e, rosette of the "type morphotype"; f, emerging inflorescence, highlighting the red scape with red eglandular trichomes characteristic of the species; g, fertile individuals of D. hirtella (left plant, with inflorescence emerging to the bottom) and D. lutescens (right plant, with inflorescence emerging to the top left) growing under shaded conditions side by side, highlighting the morphological differences between the two species regarding leaf shape and scape and indumentum color; h, i, flower. a–c, f and h at Serra do Cipó, MG; d and h at Chapada dos Veadeiros, GO; e at Diamantina, MG; g at Cristalina, GO. Photo credits: all by PMG. in A synopsis of the genus Drosera (Droseraceae) in Brazil

FIGURE. Drosera hirtella (a–i): a, b, c, habit of the "type morphotype"; d, habit of the "western morphotype"; e, rosette of the "type morphotype"; f, emerging inflorescence, highlighting the red scape with red eglandular trichomes characteristic of the species; g, fertile individuals of D. hirtella (left plant, with inflorescence emerging to the bottom) and D. lutescens (right plant, with inflorescence emerging to the top left) growing under shaded conditions side by side, highlighting the morphological differences between the two species regarding leaf shape and scape and indumentum color; h, i, flower. a–c, f and h at Serra do Cipó, MG; d and h at Chapada dos Veadeiros, GO; e at Diamantina, MG; g at Cristalina, GO. Photo credits: all by PMG.

opennotspecifiedJul 2022View details →
dryad32/100

Novel insight into the effects of CPXR on Salmonella enteritidis cells during the chlorhexidine treatment and non-stressful growing conditions

<p>The emergence and spread of antimicrobial resistance is a significant global challenge. To solve this emerging problem, the discovery of novel bacterial cellular targets and the critical pathways associated with antimicrobial resistance is urgently needed. In this study, we investigated the role of the two most critical extracytoplasmic stress response regulators, RpoE and CpxR, on the physiology and susceptibility of growing <i>Salmonella</i> <i>enterica</i> serovar Enteritidis cells using the polycationic antimicrobial agent, chlorhexidine (CHX). We showed that deletion of the <i>cpxR</i> gene significantly increased the susceptibility of this organism, whereas deletion of the <i>rpoE</i> gene had no effect on the pathogen's susceptibility to the drug. It has been shown that a lack of the CpxR regulator induces multifaceted stress responses not only in the envelope but also in the cytosol, further affecting the key biomolecules, including DNA, RNA, and proteins. We showed that alterations in cellular trafficking and most of the stress responses are associated with a dysfunctional CpxR regulator during non-stressful (exponential growth phase) conditions, indicating that these physiological changes are intrinsically associated with the lack of the CpxR regulator. In contrast, induction of type II toxin-antitoxin systems and decrease of abundances of enzymes and proteins associated with the recycling of muropeptides and resistance to polymixin and cationic antimicrobial peptides were specific responses of the ∆<i>cpxR</i> mutant to the CHX treatment. Overall, our study provides insight into the effects of CpxR on the physiology of S. Enteritidis cells during the exponential growth phase and drug treatment, which may point to potential cellular targets for the development of an effective antimicrobial agent.          </p>

opencc-zeroAug 2021View details →
dryad32/100

Novel insight into the effects of CPXR on Salmonella enteritidis cells during the chlorhexidine treatment and non-stressful growing conditions

Open the record for dataset details and reuse information.

publicAug 2021View details →
geo24/100

Transcriptional analysis of the adaptation of Ustilago maydis to grow under nitrogen fixation conditions

GEO Series GSE89625. Mycosarcoma maydis. 2 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenApr 2017View details →
geo24/100

RNA-seq of Arabidopsis thaliana seedlings growing in the presence of a bacterial synthetic community under full and low phosphate conditions

GEO Series GSE102248. Arabidopsis thaliana. 429 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenAug 2017View details →
geo24/100

RNA-seq of Aspergillus sydowii growing in three different salinity conditions

GEO Series GSE139804. Aspergillus sydowii. 9 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenDec 2019View details →
geo24/100

Gene expression of Vibrio parahaemolyticus growing in laboratory isolation conditions compared to those common in its natural ocean environment

GEO Series GSE92847. Vibrio parahaemolyticus. 6 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJun 2017View details →
geo24/100

RNA-seq of Arabidopsis thaliana seedlings growing in the presence of a bacterial synthetic community under full and low phosphate conditions [PBI_preTreat]

GEO Series GSE87337. Arabidopsis thaliana. 144 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenMar 2017View details →
geo24/100

Gene expression of T47D-MTVL human breast cancer cells growing in normal conditions

GEO Series GSE49236. Homo sapiens. 2 samples. Type: Expression profiling by array.

openGEO-OpenFeb 2014View details →
geo24/100

RNA-seq of Arabidopsis thaliana seedlings growing in the presence of a bacterial synthetic community under full and low phosphate conditions [PBI]

GEO Series GSE87338. Arabidopsis thaliana. 104 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenMar 2017View details →
geo24/100

RNA-Seq effectively monitors gene expression in Eutrema salsuginuem plants growing in an extreme natural habitat and in controlled growth cabinet conditions

GEO Series GSE49378. Eutrema salsugineum. 10 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenAug 2013View details →
geo24/100

Deep-sequencing of degraded or cleaved RNAs from barley shoot and root growing in low-Pi condition.

GEO Series GSE145423. Hordeum vulgare. 2 samples. Type: Non-coding RNA profiling by high throughput sequencing.

openGEO-OpenFeb 2021View details →
zenodo24/100

Suppelementary Table S1. List of heat-affected proteins in buds, open flowers, wilted flowers, and donor leaves of common buckwheat accessions 'Panda' and PA15. Comparison of protein abundance between heat-treated plants and those growing in optimal conditions.

<p>Suppelementary Table S1. List of heat-affected proteins in buds, open flowers, wilted flowers, and donor leaves of common buckwheat accessions &lsquo;Panda&rsquo; and PA15. Comparison of protein abundance between heat-treated plants and those growing in optimal conditions.&nbsp;</p>

opencc-by-4.0Oct 2020View details →

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Allen Brain Atlas

Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record