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53 results for “winter season”

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edi48/100

Thermal profiles in ponds and shallow lakes during summer to winter shoulder season

Autumn is an important transition time for freshwater ecosystems where many lakes turnover, going from thermally stratified to mixed in a short time. Ponds are more globally abundant than lakes, yet, the seasonal transition of ponds is poorly understood. To evaluate the mixing regimes of ponds, we examined summer into autumn thermal dynamics in 37 ponds and shallow lakes across temperate North America and Europe. This dataset provides a time series dataset of water temperatures across the water column along with characteristics of each study waterbody, including some physical, chemical, and biological parameters. Data from four waterbodies (Eddy, Tumbledown, Cranberry, Horns) have more extensive datasets published in Gavin et al. (2025). Gavin, A.L., J.E. Saros, R. Hovel, S. Birkel, S. Nelson, W.H. McDowell, and J. Daly. 2025. Sub-Alpine Lake (>600 m) High-Frequency Water Temperature, DOC (2007-2021), and Weather Station (Fall 2023) Dataset, Maine, USA. ver 1. Environmental Data Initiative. https://doi.org/10.6073/pasta/6c6286abeccc90448af0f73251843407 (Accessed 2025-09-16).

openCC (other)Jan 2026View details →
zenodo44/100

Assessment of the condition of winter crops before winter dormancy on the basis of Planet data; season 2018

<p>NDVI&nbsp;determined on the basis of images of Planets from the dates 07.09.2018&nbsp;and 14.10.2018, were used to study the assessment of the winter crop before winter dormancy.&nbsp;Available data from the September and October dates were used to assess the degree of development and density of plants.</p>

opencc-by-4.0Mar 2019View details →
zenodo44/100

Assessment of the condition of winter crops on the basis of Planet data; season 2017/2018

<p>NDVI&nbsp;determined on the basis of images of Planets from the dates 17.10.2017 and 13.04.2018, were used to study the assessment of wintering of crops. &nbsp;Acquisition of data before and after winter rest allows to assess the condition of winter crops. Available data come from the research area of the Kujawsko-Pomorskie voivodeship.</p>

opencc-by-4.0Mar 2019View details →
zenodo44/100

Assessment of the condition of winter crops before winter dormancy on the basis of Sentinel-2 data; season 2018

<p>NDVI&nbsp;determined on the basis of images of Sentinel-2 from the dates 15 and 18.10.2018, were used to study the assessment of the winter crop before winter dormancy.&nbsp;Data were used to assess the degree of development and density of plants.&nbsp;The data was used to study the correlation with Planet.</p>

opencc-by-4.0Mar 2019View details →
zenodo44/100

Manual in-situ measurements of snow depth and snow water equivalent at the Polish Polar Station Hornsund - winter seasons 2021/2022and 2022/2023

<p>The dataset presents manual measurements of snow depth and snow water equivalent collected at the Polish Polar Station Hornsund in Svalbard during the winter seasons of 2021/2022 and 2022/2023.</p> <p>Snow depth measurements have been conducted at the same location by the Station's overwintering personnel since August 1982. Snow depth is calculated from a mean of three snow stakes to avoid the effects of the drifting snow. Measurements are taken manualy, on a daily basis.&nbsp;</p> <p>Snow water equivalent measurements have also been carried out at the same points by the Station's overwintering crew since October 1982. These measurements are performed every five days using a VS-43 snow tube. However, measurements are not taken when the snow depth is less than 5 cm.</p>

opencc-by-4.0Sep 2024View details →
zenodo44/100

Seamless 30 meter Sentinel-2 L2A Pan-European seasonal cloudless mosaics from winter 2018 to spring 2020

<p>Seasonal composites of&nbsp;<a href="https://roda.sentinel-hub.com/sentinel-s2-l2a/readme.html">Sentinel-2 L2A</a>&nbsp;imagery created as part of the&nbsp;<a href="https://opendatascience.eu/geo-harmonizer/">Geo-harmonizer project</a>, containing median of the blue, green, red, NIR, SWIR1 and SWIR2 bands, as well as pixel counts per season, produced in the&nbsp;ETRS89-extended / LAEA Europe (<a href="https://epsg.io/3035">EPSG:3035</a>) spatial reference system. Mosaics were produced from winter 2017 to spring 2020, with the imaging intervals per season being:</p> <ul> <li>winter: 02/12&nbsp;of previous year to 20/03</li> <li>spring: 21/03&nbsp;to 24/06</li> <li>summer: 25/06 to 12/09</li> <li>fall: 13/09 to 01/12</li> </ul> <p>Seamlessness of the composites was achieved through overlapping pixel averaging weighted by distance from the suborbital track.</p> <p>The data are provided as UINT8 values and were scaled with a common threshold (13712) chosen to minimize compression loss across the dataset. Data at the original (UINT16) scale can be obtained as follows:</p> <p><span>\(x_{\text{uint16}} = 13712 {x_{\text{uint8}} \over 254}\)</span></p> <p>For any additional questions regarding the data please contact the authors at <a href="mailto:multione@multione.hr?subject=S2L2A%20Europe%20mosaics">multione[at]multione.hr</a>.</p>

opencc-by-4.0Aug 2021View details →
zenodo44/100

Winter Season Spectral Snowpack Albedo Data For the Caldor and Creek Fires

<p>* Description: The file &quot;Caldor_Creek_Fires_Winter_Snow_Albedo_Spectrometer_Dataset.csv&quot; is a comma-delimited file containing the spectral snowpack albedo measurements from the Caldor and Creek Fires in California and the associated burn severities at the location of each measurement.</p> <p>&nbsp;</p> <p>Data and File Overview</p> <p>======================</p> <p>Summary Metrics</p> <p>---------------</p> <p>* File count: 1</p> <p>* Total file size: 909 KB&nbsp;</p> <p>* Range of individual file sizes: 909 KB&nbsp;</p> <p>* File formats: .csv</p> <p>&nbsp;</p> <p>Naming Conventions</p> <p>------------------</p> <p>* File naming scheme: One file that includes all dates, all burn severities, all wavelengths.</p> <p>* Format(s): Comma-separated value (.csv) file</p> <p>* Size(s): 909 KB</p> <p>* Dimensions: 17,209 rows x 6 columns</p> <p>* Variables:</p> <p>&nbsp;&nbsp;* Measurement_Number: An index of the measurement number, unitless</p> <p>&nbsp;&nbsp;* wavelength: The wavelength of light (units in nanometers) for which albedo sample ranging from 350-2500 nm</p> <p>&nbsp;&nbsp;* Type: Measurement type is albedo in various burn severity environments (_hb is high burn severity, _mb is moderate burn severity, _ub is unburned, with the last letter corresponding to the month (J is January, F is February, A is April). NA corresponds to estimated January unburned data for the Caldor Fire where unburned albedo for April in the Creek Fire was adjusted downwards by 0.04 to account for less grain-size growth (Colbeck 1982, Rev. Geophys., https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/RG020i001p00045).&nbsp;&nbsp;</p> <p>&nbsp;&nbsp;* Albedo: The albedo (unitless), is a measurement of the solar radiation reflected by the snow surface divided by the radiation incident on its surface. In other words, albedo is the fraction of the incident sunlight reflected by the snow.</p> <p>&nbsp;&nbsp;* month: The month when the measurement was taken</p> <p>&nbsp;&nbsp;* burn: Burn severity at measurement location based upon classifications (High, Medium,, Unburned) from the Monitoring Trends in Burn Severity Dataset (https://mtbs.gov/). NA corresponds to the estimated unburned data for the Caldor Fire using April unburned data in the Creek Fire.</p> <p>&nbsp;&nbsp;* Missing data codes: No missing data is presented.</p> <p>&nbsp;</p> <p>Dates and Locations</p> <p>-------------------</p> <p>* Dates of data collection: Surface albedo collected in 27-28 February 2021, 1 April 2021, and 21 January 2022</p> <p>* Geographic locations of data collection: Data collected within the Caldor Fire perimeter in the central Sierra Nevada, California-Nevada (January 2022) and the Creek Fire perimeter, California (February and April 2021).</p> <p>&nbsp;</p> <p>Setup</p> <p>-----</p> <p>* Recommended software/tools to open file: parentage- R Studio; file can be opened using any text editor or programming language (e.g., R Studio, MATLAB, Python, TextMate, Microsoft Excel, etc)</p> <p>&nbsp;</p>

opencc-by-4.0Sep 2022View details →
edi44/100

Climate Change Across Seasons Experiment (CCASE) at the Hubbard Brook Experimental Forest: Tree Growth Data in support of "Declining Winter Snowpack Offsets Carbon Storage Enhancement from Growing Season Warming in Northern Temperate Forest Ecosystems", Conrad-Rooney et al. PNAS 2025

Data associated with the publication: Conrad-Rooney E, AB Reinmann, PH Templer. Declining Winter Snowpack Offsets Carbon Storage Enhancement from Growing Season Warming in Northern Temperate Forest Ecosystems. Proceedings of the National Academy of Sciences, 2025. This dataset includes cumulative stem biomass carbon data (from pre-treatment in 2012 until 2022) and annual stem biomass growth rates (not cumulative) for 2015-2022 for the red maple trees at the Climate Change Across Seasons Experiment. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.

openCC (other)Jun 2025View details →
edi44/100

Climate Change Across Seasons Experiment (CCASE) at the Hubbard Brook Experimental Forest: Soil Temperature, Soil Frost, and Snow Depth Data in support of "Declining Winter Snowpack Offsets Carbon Storage Enhancement from Growing Season Warming in Northern Temperate Forest Ecosystems", Conrad-Rooney et al. PNAS 2025

Data associated with the publication: Conrad-Rooney E, AB Reinmann, PH Templer. Declining Winter Snowpack Offsets Carbon Storage Enhancement from Growing Season Warming in Northern Temperate Forest Ecosystems. Proceedings of the National Academy of Sciences, 2025. This dataset includes soil temperature (winter 2021-2022) and snow depth and frost depth (winter 2022-2023) at the Climate Change Across Seasons Experiment. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.

openCC (other)Jun 2025View details →
zenodo40/100

Fig. 2 in Seasonal Variation (Winter Vs. Summer) Crustacean Fauna Of The Oualidia Lagoon, Morocco

Fig. 2. Changes in the composition and structure of the crustacean assemblage between winter and summer: A — abundance (ind./m2); B — species richness; C —diversity of Shannon (H') and (D) evenness (J'). Mean ± standard deviation.

opencc-by-4.0Dec 2023View details →
zenodo40/100

Results of ultrasound measurements of sea-ice cores sampled during the Southern oCean seAsonal Experiment (SCALE) winter cruise in 2019

<p>This dataset details the results of testing sea ice cores collected during the SCALE 2019 Winter Cruise using ultrasound techniques.&nbsp;</p>

opencc-by-4.0Aug 2022View details →
zenodo40/100

The Meltwater Pulse1A Triggered an Extreme Cooling Event: Evidence From Southern China. Meltwater Pulse Cooling Event (MCE). Winter temperature data during the last deglacial of Huguangyan Maar lake, Surface water temperature and seasonal diatom assemblage data of Huguangyan and Yunlong Lake.

<p>Here&nbsp;we present results of&nbsp;The lake averaged monthly mean surface water temperature over the period from September 2013 to August 2015 from Yunlong Tianchi Lake(YL)(25&deg;52.2&prime;N, 99&deg;16.8&prime;E, altitude: 2551 m a.s.l),&nbsp;southwestern China.&nbsp;The dataset include sediment trap main diatom percentages over the period from September 2013 to August 2015 from YL.&nbsp;Lake water temperature profiles at different depths (1, 3, 6, 9, 11, 13, 16 m) from November 2008 to May 2009 in Huguang Maar Lake (HML)(21&deg;9&prime;N, 110&deg;17&prime;E), Southern China.&nbsp;AMS radiocarbon dates of plant remains and bulk sediment samples for Huguangyan Maar Lake over the last ~17 cal ka BP.&nbsp;The main diatom assemblage percentages (%) from 17 to 10 cal ka BP at Huguangyan Maar Lake. Diatom-based reconstruction of winter temperature (WT) from 17 to 10 cal ka BP at Huguangyan Maar Lake.</p>

opencc-by-4.0Oct 2022View details →
zenodo40/100

Рис. 3. Схема миграций виΑов рыб, участвующих в современной Αинамике ихтиофауны на территории НТТ: 1 — разΛивы; 2 — намывы. Черным цветом обозначены направΛения миграций из реки Туманной; красным — из оз. Хасан и РазΛивов; синим — с мест зимовки в реках южного Приморья; зеΛеным — сезонные миграции из южных морей Fig. 3. Scheme of migration of fish species involved in the modern dynamics of ichthyofauna on the territory of LRT: 1 — spills; 2 — alluvial. Black color indicates the direction of migration from the Tumannaya river; red — from lake Khasan and spills; blue — from wintering places in the rivers of southern Primorye; green — seasonal migration from the south seas in Transboundary Migration And The Local Constraints In The Dynamic Of Fish Fauna In The Lower Reaches Of Tumannaya River

Рис. 3. Схема миграций виΑов рыб, участвующих в современной Αинамике ихтиофауны на территории НТТ: 1 — разΛивы; 2 — намывы. Черным цветом обозначены направΛения миграций из реки Туманной; красным — из оз. Хасан и РазΛивов; синим — с мест зимовки в реках южного Приморья; зеΛеным — сезонные миграции из южных морей Fig. 3. Scheme of migration of fish species involved in the modern dynamics of ichthyofauna on the territory of LRT: 1 — spills; 2 — alluvial. Black color indicates the direction of migration from the Tumannaya river; red — from lake Khasan and spills; blue — from wintering places in the rivers of southern Primorye; green — seasonal migration from the south seas

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

Figure 6 in A comparative study of the diurnal behaviour of the Northern Shoveller (Anas clypeata) during the wintering season at Garaet Hadj-Tahar (North-East Algeria) and Garaet Timerganine (Algerian highlands)

Figure 6. Balance of the rhythms of daytime activities of the Shovellers in Garaet Hadj-Tahar during the 2 wintering seasons of 2007 and 2009.

opencc-by-4.0Dec 2014View details →
zenodo40/100

Figure 4 in A comparative study of the diurnal behaviour of the Northern Shoveller (Anas clypeata) during the wintering season at Garaet Hadj-Tahar (North-East Algeria) and Garaet Timerganine (Algerian highlands)

Figure 4. Percentage of time allocated by the Shoveller for diurnal activities at (A) Garaet Hadj-Tahar and (B) Garaet Timerganine.

opencc-by-4.0Dec 2014View details →
zenodo40/100

Data from: Comparing winter versus summer deepwater dissolved oxygen depletion with the potential for cross-seasonal forecasting of deepwater oxygen availability

<p>Depletion of deepwater dissolved oxygen (DO) in lakes has become increasingly prevalent and severe due to many external stressors, potentially threatening human-derived ecosystem services ranging from drinking water quality to fisheries. Using year-round, high-frequency DO data from 12 dimictic lakes, we compared three measures of deepwater DO depletion during winter and summer:&nbsp; DO depletion rate, DO minimum, and hypoxia duration. Hypoxia (DO &lt; 3 mg L<sup>-1</sup>) occurred in over half of the lakes and persisted an average of 83% longer in summer than in winter. While we found no difference in DO depletion rates between winter versus summer, these rates were strongly related to lake morphology in winter but water transparency and temperature in summer. Winter hypoxia duration was negatively related to summer hypoxia duration, suggesting potential utility for forecasting DO depletion in the subsequent summer. Spring mixing efficacy was strongly related to winter minimum DO saturation and hypoxia duration, and was also a strong predictor of summer minimum DO saturation and hypoxia duration. Hence, these cross-seasonal patterns suggest deepwater DO metrics can be used to forecast DO availability in subsequent seasons, modified by the relative importance of morphology, water transparency, and temperature. These findings can allow for improved, early management when DO is predicted to be critically low based on previous seasons&rsquo; DO measurements, which can work to minimize the negative consequences for water quality and fisheries health associated with severe DO depletion.</p>

opencc-by-4.0May 2023View details →
edi40/100

McMurdo Dry Valleys Winter Phytoplankton Densities during the 1990-1991 season

Using automated overwinter sampling devices, preserved phytoplankton samples were collected from multiple depths in Lake Fryxell, a permanently ice-covered lake in southern Victoria Land, Antarctica. Photosynthetic algae (i.e. algae possessing chloroplasts) are maintained in a stable water column throughout winter darkness. The algal taxa "overwinter" in different ways, in a species specific manner. Typical vegetative cells were the most abundant form for all species found in the water column. Populations of one chlorophyte, Stichococcus sp., and two cryptophyte species increased during winter. We interpret the increase in algal population size as evidence of wintertime heterotrophic growth, and mixotrophic behavior in the context of the entire year. For two chlorophyte species some portion of the population had distinct morphology, e.g. akinetes for Chlamydomonas subcaudata and cells containing a large amount of starch or other storage material for Chlorella sp.. During winter, vegetative cells of the most abundant species of cyanobacteria, Phormidium angustissimum, occurred at the depth of the summertime maximum and at depths below the oxycline, which may represent a "false bottom". Other than this false bottom and the absence of diatoms, settling did not appear to influence the overwinteringalgal community.

openOpenNov 2014View details →
dryad36/100

Data from: Consistent seasonal flexibility of the gut and its regions across wild populations of a winter-quiescent fish

<p>Here, we investigated phenotypic flexibility in the size of the gastrointestinal (GI) tract across three northern populations of a winter-dormant warm-water fish, pumpkinseed sunfish (<em>Lepomis gibbosus</em>). The dried masses of all gut regions (stomach, pyloric caeca, intestine) were measured approximately biweekly between January and August 2021. In all populations, pumpkinseed exhibited pronounced structural flexibility in the GI tract, aligned with winter and the timing of reproduction. The dry mass of the GI increased by 1.3- to nearly 2.5-fold in the early spring. The pyloric caeca demonstrated the greatest capacity for flexibility, increasing by up to 3.7-fold prior to reproduction. In all populations, minimum dry GI mass was consistently achieved during winter and mid-summer. This capacity for gut flexibility may represent a novel mechanism for facilitating rapid adaptive responses (e.g., metabolic plasticity) to future environmental change.</p>

opencc-zeroMar 2024View details →
zenodo36/100

Fig. 4 in Seasonal Variation (Winter Vs. Summer) Crustacean Fauna Of The Oualidia Lagoon, Morocco

Fig. 4. Canonical correspondence analysis plots: A — winter; B — summer.

opencc-by-4.0Dec 2023View details →
zenodo36/100

Fig. 1 in Seasonal Variation (Winter Vs. Summer) Crustacean Fauna Of The Oualidia Lagoon, Morocco

Fig. 1. Location map of the study area and sampling sites in the Oualidia lagoon.

opencc-by-4.0Dec 2023View details →

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

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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

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Last verified 2026-04-29Open record

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