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1,604 results for “Wintering”
The genotypic data of elite European cultivar panel comprising 358 winter and 14 summer wheat varieties released from 1975 to 2007 at different marker densities
<p>This submission contains the genotpying data corresponding to the GABI-WHEAT and its subset TROST panel, at different densities i.e 35k, 90k for GABI-WHEAT and 135k for TROST panel. Additionally, the marker oligo sequences, envisioned to be used for mapping to wheat reference genome for obtaining marker phyical positions and thus assist genomic interoperability, are included. </p> <p>(35k, 135k and 90k are names given to markers originating from Affymetrix [Allen et al., 2017*; Muqaddasi et al., 2019, Muqaddasi et al., 2020**] and 90k iSELECT [Wang et al., 2014***] SNP array chips)</p> <p>*https://doi.org/10.1111/pbi.12635</p> <p>**https://doi.org/10.3835/plantgenome2018.05.0029</p> <p>***https://doi.org/10.1111/pbi.12183</p>
Datas of organic acids in 2018 and winter 2009 Guangzhou
<p>Datas of organic acids in 2018 and winter 2009 Guangzhou</p>
Supplementary material 2 from: Jones D, Fowler MS, Hocking S, Eastwood D (2022) Comparing field-based management approaches for invasive Winter Heliotrope (Petasites pyrenaicus, Asteraceae). NeoBiota 74: 171-187. https://doi.org/10.3897/neobiota.74.82673
Field trial site treatment group assignment
Supplementary material 1 from: Jones D, Fowler MS, Hocking S, Eastwood D (2022) Comparing field-based management approaches for invasive Winter Heliotrope (Petasites pyrenaicus, Asteraceae). NeoBiota 74: 171-187. https://doi.org/10.3897/neobiota.74.82673
Desk-based site geological, hydrological and historical surveys
Supplementary material 3 from: Jones D, Fowler MS, Hocking S, Eastwood D (2022) Comparing field-based management approaches for invasive Winter Heliotrope (Petasites pyrenaicus, Asteraceae). NeoBiota 74: 171-187. https://doi.org/10.3897/neobiota.74.82673
Petasites pyrenaicus field trial herbicide properties, manufacturers and suppliers
Figure 2 from: Becerra-Chiron IM, Moya-Raygoza G, Muñoz-Urias A (2017) Host-Dryinidae (Hymenoptera) interactions on edge grasses of maize agroecosystem throughout winter in Mexico. Journal of Hymenoptera Research 57: 155-166. https://doi.org/10.3897/jhr.57.12990
Figure 2 - Quantitative food web of parasitoid-host interaction found on the edges of maize agroecosystem in the winter seasons of 2014 and 2015. Top names are the parasitoid species and bottom names are the host species.
Figure 1 from: Becerra-Chiron IM, Moya-Raygoza G, Muñoz-Urias A (2017) Host-Dryinidae (Hymenoptera) interactions on edge grasses of maize agroecosystem throughout winter in Mexico. Journal of Hymenoptera Research 57: 155-166. https://doi.org/10.3897/jhr.57.12990
Figure 1 - Total of parasitoid-host interactions found on the edges of maize agroecosystem in the winter seasons of 2014 and 2015. Name in parenthesis show the name of the host tribe.
Figure 1 from: Katsanevakis S, Mackelworth P, Coll M, Fraschetti S, Mačić V, Giakoumi S, Jones P, Levin N, Albano PG, Badalamenti F, Brennan R, Claudet J, Culibrk D, D'Anna G, Deidun A, Evagelopoulos A, García-Charton J, Goldsborough D, Holcer D, Jimenez C, Kark S, Sørensen T, Lazar B, Martin G, Mazaris A, Micheli F, Milner-Gulland E, Pipitone C, Portman M, Pranovi F, Rilov G, Smith R, Stelzenmüller V, Vogiatzakis I, Winters G (2017) Advancing marine conservation in European and contiguous seas with the MarCons Action. Research Ideas and Outcomes 3: e11884. https://doi.org/10.3897/rio.3.e11884
Figure 1 - European and contiguous seas. The distribution of population in European and adjacent coastal areas is shown as well as the existing Marine Protected Areas (including the Natura-2000 sites; based on the September 2015 version of the World Database on Protected Areas) and the terrestrial and marine borders (not all shown EEZs have been ratified – in the case of non-agreed marine borders the median line is shown in the map).
Aesculus californica (Hippocastanaceae) - twig - close-up winter terminal bud
Image of Aesculus californica (Hippocastanaceae) - twig - close-up winter terminal bud
Platanus occidentalis (Platanaceae) - twig - close-up winter leaf scar/bud
Image of Platanus occidentalis (Platanaceae) - twig - close-up winter leaf scar/bud
Ailanthus altissima (Simaroubaceae) - twig - close-up winter leaf scar/bud
Image of Ailanthus altissima (Simaroubaceae) - twig - close-up winter leaf scar/bud
THE IMPORTANCE OF ANTI-SLIP TECHNOLOGICAL MATERIALS IN THE WINTER SEASON
Open the record for dataset details and reuse information.
Matlab Data and Code for "Pacific and Atlantic origins of the decadal variability of winter North American cold temperatures"
<p>Matlab Data and Code for "Pacific and Atlantic origins of the decadal variability of winter North American cold temperatures"</p>
Fig. 3 in Changing Of Wintering Site Or Recovery Provision - An Analysis Of Ringing Data Of Hungarian Lapwings, Vanellus Vanellus
Fig. 3. Centers of gravity and standard deviation of recoveries in the to study periods (1909–1932 – triangles and dotted area for SD, 1974–2005 – squares and hatched area for SD)
Sketchnote: clever & gesund - Laufen im Winter
<p>Tipps für das Laufen im Winter. Entwickelt für die Studieneinstiegsphase der TU Clausthal.</p>
Accompanying data to "Could an extremely cold central European winter such as 1963 happen again despite climate change?"
<h2>Accompanying data to "Could an extremely cold central European winter such as 1963 happen again despite climate change?"</h2> <div> </div> <div><strong>16.07.2024 This repository contains data that underlies the following publication:</strong></div> <div>Sippel, S., Barnes, C., Cadiou, C., Fischer, E., Kew, S., Kretschmer, M., Philip, S., Shepherd, T. G., Singh, J., Vautard, R., and Yiou, P.: Could an extremely cold central European winter such as 1963 happen again despite climate change? <em>Weather and Climate Dynamics</em> (accepted), 2024. Preprint: https://doi.org/10.5194/egusphere-2023-2523.</div> <div> </div> <div>This repository is a data collection, which contains simulated extremely cold Central European winter storylines. Climate model simulations use the technique of climate model boosting, and statistical generation using stochastic weather generators (SWG) empirical importance sampling. The repository contains the following data files:</div> <div> </div> <h3>(1) Climate model ensemble boosting for extremely cold winter storylines. </h3> <div> <ul> <li>Zip file BSSP370cmip6.0000013.zip: Contains all 750 files of the first-order boosting. First order boosting is based on ensemble member 21 in the CESM2-ETH ensemble, and with restart dates between 01.12 and 15.12.2022 (SSP3-70 scenario), with 50 members for each starting date. Example file: BSSP370cmip6.0000013.2022-12-06.ens023.cam.h1.2022-12-07-00000.nc</li> </ul> </div> <div>The boosting files follow a naming convention: </div> <div> <ul> <li> <ul> <li>BSSP370cmip6 all files based on CMIP6 SSP3-70 forcing.</li> <li><span>2022-12-06 starting date of the respective ensemble member.</span></li> <li><span>0000013 Ensemble member of CESM2-ETH that was used for boosting (i.e. member 13 of CESM2-ETH).</span></li> <li><span>ens023 Ensemble member of the boosted ensemble (i.e. member 23 with starting date 06.12.2022).</span></li> </ul> </li> </ul> </div> <div>The second-order boosting was branched off from first-order boosting file BSSP370cmip6.0000013.2022-12-06.ens023.cam.h1.2022-12-07-00000.nc.</div> <div> </div> <div> <ul> <li>Zip file BSSP370cmip6.0230013.zip: Contains all 750 files of the first set of second-order boosting simulations. All these simulations are based on first-order boosting file BSSP370cmip6.0000013.2022-12-06.ens023.cam.h1.2022-12-07-00000.nc. That is, the first-order boosting file started from ensemble member 13 of CESM2-ETH, starting date 06.12.2022 and ensemble member 23 of the first-order boosted ensemble. The second-order boosting file shown in Figs. 5-6 is the file BSSP370cmip6.0230013.2023-01-08.ens047.cam.h1.2023-01-09-00000.nc. That is, ensemble member 47 in second-order boosting ensemble from starting date 08.01.2023. </li> </ul> </div> <div> </div> <div> <ul> <li>Zip file BSSP370cmip6.0480013.zip: Contains all 750 files of the second set of second-order boosting simulations. All these simulations are based on first-order boosting file BSSP370cmip6.0000013.2022-12-15.ens048.cam.h1.2022-12-16-00000.nc. That is, the first-order boosting file started from ensemble member 13 of CESM2-ETH, starting date 15.12.2022 and ensemble member 48 of the first-order boosted ensemble. The second-order boosting file shown in Figs. 5-6 is the file BSSP370cmip6.0480013.2023-01-08.ens032.cam.h1.2023-01-09-00000.nc. That is, ensemble member 32 in second-order boosting ensemble from starting date 08.01.2023. </li> </ul> </div> <div> </div> <div> </div> <h3>(2) CESM2 maps of extremely cold winters (to generate Fig. 5)</h3> <div>* Zip file cesm2_maps.zip. Contains the following entries, all for DJF average anomalies (relative to the ensemble average climatology):</div> <div>- tas_ssp370_r2i1p1.2005-2035_anom.nc</div> <div>- tas_ssp370_r12i1p1.2005-2035_anom.nc</div> <div>Two members (r2i1p1 in 2008, r12i1p1 in 2007) from the CESM2-ETH ensemble, which produce very cold winters. Variables tas (surface air temperature), Z500 (geopotential height at 500 hPa), FSDS (surface downwelling shortwave radiation), and FSNS (surface net shortwave radiation) are available (FSDS and FSNS to calculate albedo). </div> <div>- tas_ssp370_0230013.2023-01-08.ens047_anom.nc</div> <div>- tas_ssp370_0480013.2023-01-08.ens032_anom.nc</div> <div>The two extremely cold boosted winters as described above, concatenated with their parent files from boosting. </div> <div> </div> <div> </div> <h3>(3) Storylines of extremely cold winters generated via Stochastic weather generator (SWG) empirical importance sampling</h3> <div>SWG-empirical-importance-sampling.zip Storylines of extremely cold winters generated via Stochastic weather generator (SWG) empirical importance sampling (Yiou and Jézéquel, 2020, https://doi.org/10.5194/gmd-13-763-2020). The available maps are seasonal average anomalies resampled from ERA5 (to generate Fig. 5):</div> <div> <ul> <li>Surface air temperature: t2m_WEGE_germany_1963_1972-2021_DJFmean.nc</li> <li><span>Albedo: fal_WEGE_germany_1963_1972-2021_DJFmean.nc</span></li> <li><span>z500: z500_WEGE_germany_1963_1972-2021_DJFmean.nc</span></li> </ul> </div> <div> </div>
supplemental files for Assembly and analysis of sequence from a spring and winter type Camelina sativa by whole genome PacBio HiFi technologies
<p><span>Supplemental files for Assembly and analysis of sequence from a spring and winter type <em>Camelina sativa</em> by whole genome PacBio HiFi technologies</span></p>
Figures 1-4 from: Gottlieb Almeida AP, Zardo EL, Toni C, Behr ER, Picolli da Silva L, Vieira JP, Loro VL, Baldisserotto B (2018) Composition of gastrointestinal content, protease and lipase activities in summer and winter of four freshwater siluriforms (Teleostei: Actinopterygii) with two different feeding habits. Zoologia 35: 1-8. https://doi.org/10.3897/zoologia.35.e13286
Figures 1-4 Species used in the analysis: (1) Rhamdia quelen; (2) Pimelodus maculatus; (3) Loricariichthys anus; (4) Hypostomus commersoni. Figures 1, 2 and 4 kindly provided by Alexssandro G. Becker and figure 3 by Luiz R. Malabarba.
Figures 10-11 from: Gottlieb Almeida AP, Zardo EL, Toni C, Behr ER, Picolli da Silva L, Vieira JP, Loro VL, Baldisserotto B (2018) Composition of gastrointestinal content, protease and lipase activities in summer and winter of four freshwater siluriforms (Teleostei: Actinopterygii) with two different feeding habits. Zoologia 35: 1-8. https://doi.org/10.3897/zoologia.35.e13286
Figures 10-11 Lipase activity in the omnivorous R. quelen and P. maculatus and detritivorous L. anus and H. commersoni in the summer and winter: (10) anterior intestine; (11) posterior intestine. Different letters indicate significant differences between species in the same season. * Indicates a significant difference from the summer in the same segment (p < 0.05). (U, a Caraway unit) (n = 15 from each species at each season).
Figures 5-9 from: Gottlieb Almeida AP, Zardo EL, Toni C, Behr ER, Picolli da Silva L, Vieira JP, Loro VL, Baldisserotto B (2018) Composition of gastrointestinal content, protease and lipase activities in summer and winter of four freshwater siluriforms (Teleostei: Actinopterygii) with two different feeding habits. Zoologia 35: 1-8. https://doi.org/10.3897/zoologia.35.e13286
Figures 5-9 Proteolytic enzymatic activities in the omnivorous R. quelen and P. maculatus and detritivorous L. anus and H. commersoni in the summer and winter: (5) pepsin in the stomach; (6) trypsin in the anterior intestine; (7) trypsin in the posterior intestine; (8) chymotrypsin in the anterior intestine; (9) chymotrypsin in the posterior intestine. Different letters indicate significant differences between species in the same season. * Indicates a significant difference from summer in the same segment (p < 0.05). (U, a Caraway unit) (n = 15 from each species at each season).
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.
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.