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1,604 results for “Wintering”

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zenodo36/100

GEOS-Chem modeled gas and aerosol concentrations at five sites from FRIEND project (2020-21 winter)

<p>The files contain GEOS-Chem modeled hourly concentrations of gases (NO, NO2, CO, NH3, O3, SO2) and aerosols (NH4+, SO42-, NO3-, OC, BC) at the following sites. Model grid is chosen by the closest distance from the sites and the&nbsp;grid center.&nbsp;</p> <p>Ulaanbaatar, Mongolia (&#39;lon&#39;:106.91, &#39;lat&#39;:47.92)&nbsp;</p> <p>Beijing, China (&#39;lon&#39;:116.31, &#39;lat&#39;:39.99)&nbsp;</p> <p>Seosan, South Korea (&#39;lon&#39;:126.49, &#39;lat&#39;:36.78)&nbsp;</p> <p>Seoul, South Korea (&#39;lon&#39;:126.93, &#39;lat&#39;:37.61)&nbsp;</p> <p>Noto, Japan (&#39;lon&#39;:137.36, &#39;lat&#39;:37.45)&nbsp;</p> <p>Details can be found from the paper submitted. (will be updated later once accepted)</p> <p>&nbsp;</p>

opencc-by-4.0Sep 2022View details →
zenodo36/100

Ground observation of daily gases and aerosols from FRIEND project (2020-21 winter)

<p>The files contain hourly average concentration of gases (SO2, NO2, O3, CO, NH3) and aerosols (NH4+, SO42-, NO3-, OC, EC) measured at the following sites.&nbsp;</p> <p>Ulaanbaatar, Mongolia (&#39;lon&#39;:106.91, &#39;lat&#39;:47.92)&nbsp;</p> <p>Beijing, China (&#39;lon&#39;:116.31, &#39;lat&#39;:39.99)&nbsp;</p> <p>Seosan, South Korea (&#39;lon&#39;:126.49, &#39;lat&#39;:36.78)&nbsp;</p> <p>Seoul, South Korea (&#39;lon&#39;:126.93, &#39;lat&#39;:37.61)&nbsp;</p> <p>Noto, Japan (&#39;lon&#39;:137.36, &#39;lat&#39;:37.45)&nbsp;</p> <p>Details can be found from the paper submitted. (will be updated later once accepted)</p>

opencc-by-4.0Oct 2022View details →
dryad36/100

Determining haploblocks and haplotypes in the MAGIC winter wheat population WM-800 based on the wheat 15k Infinium and the 135k Affymetrix SNP arrays

<p><span>Haplotypes are derived from single nucleotide polymorphisms (SNPs). They are beneficial (i) to remove redundant sequence information in genetic populations and, more important, (ii) to distinguish more than two variants/alleles at a genomic locus. A haploblock locus, made of multiple haplotypes, is very useful in multiparent-advanced-generation-intercross (MAGIC) populations, where, ideally, multiple founder alleles need to be distinguished at each locus to subsequently carry out efficient genome-wide association analysis studies (GWAS). </span></p> <p><span>In this regard, the dataset contains genotype matrices (made of SNP, haploblock and haplotype data) for 800 lines of the MAGIC WHEAT population WM-800 (Sannemann et al. 2018). The datasets are based on genotyping the lines with both the already published wheat 15k Infinium SNP array (Sannemann et al. 2018) and the new wheat 135k Affymetrix SNP array.</span></p>

opencc-zeroOct 2022View details →
zenodo36/100

Low-poly E. Ambrose Webster's 'Brook in Winter'

1000-polygon version of [E. Ambrose Webster's 'A Brook in Winter'](https://skfb.ly/XUS9), 1914, now in the collection of the Minneapolis Institute of Art. [More information](http://collections.artsmia.org/art/125388/brook-in-winter-e-ambrose-webster) This is a low-resolution version of the 3D model; contact permissions@artsmia.org for a larger version. Source: Objaverse 1.0 / Sketchfab

opencc-zeroJan 2021View details →
zenodo36/100

PPS Winter wheat trials 2014 - 2015

<p>This data set consists of observations that were done during the PPS winter wheat field trials in Wageningen (The Netherlands).&nbsp;<br>The experiment was conducted by the chair group Plant Production Systems (PPS) of Wageningen University and Research.<br>The experiment consisted of two growing seasons (2013-2014 and 2014-2015), three nitrogen fertilization treatments (N1, N2, N3) and three cultivars (cv Julius, cv Ritmo, cv Tabasco).<br>The experiment has been described in detail by Berghuijs et al (2023).</p> <p>The uploaded files are:</p> <p>20231228_pps_winterwheat_trials_crop_nitrogen_and_phosphor.xlsx: contains measurements of crop N and crop P concentrations<br>20231228_pps_winterwheat_trials_dry_matter.xlsx: contains measurements of dry matter, dry matter partitioning and specific leaf area<br>20231228_pps_winterwheat_trials_phenology.xlsx: contains the sowing dates, dates of anthesis and harvest dates. Note that there were no separate measurements of phenology done per cultivar; only per growing season.</p> <p>References:<br>Berghuijs, H. N. C., Silva, J. V., Rijk, H. C. A., van Ittersum, M. K., van Evert, F. K. &amp; Reidsma, P. (2023). Catching-up with genetic progress: Simulation of potential production for modern wheat cultivars in the Netherlands. Field Crops Research 296: 108891. URL: https://doi.org/10.1016/j.fcr.2023.108891</p>

opencc-by-4.0Dec 2022View details →
zenodo36/100

Dataset for model input of WRF model for the paper:Modulation of Extratropical Cyclones by Previous Cyclones via the Sea Surface Temperature Anomaly over the Sea of Japan in Winter

<p>This is the dataset and code for generating the lower boundary condition which used in our study submitted to the JGR-Atmospheres. The meteorological data for the initial condition are available on NCEP-FNL&nbsp;ftp database.</p>

opencc-by-4.0Jan 2018View details →
zenodo36/100

Aesculus californica (Hippocastanaceae) - twig - close-up winter leaf scar/bud

Image of Aesculus californica (Hippocastanaceae) - twig - close-up winter leaf scar/bud

opencc-by-4.0Dec 2009View details →
zenodo36/100

Quercus lobata (Fagaceae) - twig - close-up winter leaf scar/bud

Image of Quercus lobata (Fagaceae) - twig - close-up winter leaf scar/bud

opencc-by-4.0Dec 2009View details →
zenodo36/100

Quercus acutissima (Fagaceae) - twig - close-up winter terminal bud

Image of Quercus acutissima (Fagaceae) - twig - close-up winter terminal bud

opencc-by-4.0Dec 2014View details →
zenodo36/100

Data and scripts for "Unraveling secondary ice production in winter orographic clouds through a synergy of in-situ observations, remote sensing and modeling"

<div> <div> <div>This repository contains field observations and processed data from the Weather Research and Forecasting (WRF) model simulations and the Cloud Resolving Model Radar Simulator (CR-SIM), alongside scripts designed to reproduce the figures presented in the paper titled "Unraveling Secondary Ice Production in Winter Orographic Clouds through a Synergy of In-Situ Observations, Remote Sensing, and Modeling." The in-situ and remote sensing measurements were conducted at Mount Helmos in Peloponnese as part of the CALISHTO campaign (https://calishto.panacea-ri.gr/).</div> </div> </div> <div>Preprint accessible at: https://doi.org/10.21203/rs.3.rs-3502790/v1</div>

opencc-by-4.0Mar 2024View details →
dryad36/100

Data from: Year-round carryover effects are driven by migration phenology for Hirundo rustica (Barn Swallow) wintering in West Africa

<p>Recently, population declines have been reported for many migratory birds. Because of complex life cycles, determining the causes for such declines is often difficult. Thus, migratory birds are of special conservation interest. We studied the migratory behavior of barn swallows Hirundo rustica tagged with solar geolocators and determined carryover effects during the entire annual cycle from one breeding season to the next. We used a Partial Least Square Path Model (PLS-PM) to disentangle migratory and breeding events that occur in chronological order. In addition, we controlled for broad environmental conditions in the wintering grounds (NDVI and latitude) and the specific moulting habitat (δ13C). We did not find a carryover effect from reproduction investment in the attachment year to breeding success in the subsequent year. Individuals which invested more in reproduction departed earlier from the breeding colonies, but this in turn did not affect the onset of autumn migration. Thus, the pre-migratory period should be acting as a buffer stage counteracting any previous carryover effects from reproduction investment. On the other hand, we found a long-lasting domino effect from the onset of autumn migration to subsequent breeding success, consistent with the notion of a migratory race. Specifically, individuals which started earlier the autumn migration, arrived earlier to the wintering grounds, started earlier the spring migration, arrived earlier to the breeding colonies and had a higher breeding success. We highlight that the pre-migratory period (i.e., the time elapsed between departure from breeding areas and the onset of autumn migration) should be important for the lifecycle of migratory species, but it has been frequently overlooked.</p>

opencc-zeroMay 2024View details →
zenodo36/100

Data for "Hunting for gravity waves in non-orographic winter storms using 3+ years of regional surface air pressure networks and radar observations"

<p>These data are shown in the figures included with the article "Hunting for gravity waves in non-orographic winter storms using 3+ years of regional surface air pressure networks and radar observations," submitted to Atmospheric Chemistry and Physics.</p>

opencc-by-4.0May 2024View details →
zenodo36/100

Fig. 1 in Effectiveness Of Doubled Haploids Production By Anther Culture From Selected Winter Wheat Hybrids

Fig. 1. Efficiency of formation of embryos and plants-regenerants.

opencc-by-4.0Dec 2020View details →
zenodo36/100

Sea ice core temperature and salinity data collected during the 2022 SCALE Winter Cruise

Open the record for dataset details and reuse information.

opencc-by-4.0Jun 2024View details →
zenodo36/100

Reevaluating the Little Ice Age: Novel insights from oceanic and terrestrial records on unexpected warm winters

Open the record for dataset details and reuse information.

opencc-by-4.0Nov 2023View details →
dryad36/100

High buffering potential of winter wheat composite cross populations to rapidly changing environmental conditions

<p><span>A winter wheat composite cross population (CCP), created in the UK in 2001, has been grown in Germany, Hungary and the UK since 2005 (F<sub>5</sub> generation). In 2008/9 (F<sub>8</sub>), a cycling pattern for the populations was developed between partners to test the effects of rapidly changing environments on agronomic performance. One CCP was grown by eight partners for one year and subsequently sent to the next partner, creating "cycling CCPs" with different histories. In 2013, all eight cycling CCPs and the three non-cycling CCPs (from Germany, Hungary and UK) were included in a two-year experiment in Germany with three line varieties to compare agronomic performance and morphological characteristics. Differing seed weight of the F<sub>13</sub> at sowing affected some agronomic parameters under drought conditions in 2014/15, but not under less stressful conditions in 2013/14. In both experimental years, the CCPs were comparable to the line varieties in terms of agronomic performance, with some CCPs outyielding the varieties under drought conditions of 2015. The results highlight the potential of CCPs to compete with line varieties while the</span> <span>overall similarity of the CCPs based on their origin and cycling history for agronomic traits indicate a high buffering potential under highly variable environmental conditions. </span></p>

opencc-zeroJun 2024View details →
zenodo36/100

Fig. 2 in The Impact Of Sowing Time On Sugar Content And Snow Mould Development In Winter Wheat

Fig. 2. The content of carbohydrates depending on the year and the sowing time.

opencc-by-4.0Dec 2011View details →
zenodo36/100

Fig. 1 in The Impact Of Sowing Time On Sugar Content And Snow Mould Development In Winter Wheat

Fig. 1. The average temperature of ten-day periods during overwintering.

opencc-by-4.0Dec 2011View details →
zenodo36/100

Fig. 6 in Large Herbivore Abundance, Distribution And Winter Pasture Quality In Two Game Farms In North Kazakhstan

Fig. 6. Siberian roe deer wintering concentration places in "Zerenda" game farm.

opencc-by-4.0Dec 2015View details →
zenodo36/100

Fig. 1 in Large Herbivore Abundance, Distribution And Winter Pasture Quality In Two Game Farms In North Kazakhstan

Fig. 1. Moose wintering concentration places in "Bulandy" game farm.

opencc-by-4.0Dec 2015View 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