Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
1,604
datasets available to search
ShareScore release 0.9.0
Dataset results
1,604 results for “Wintering”
FIGURE 13 in A remarkable new species of winter stonefly (Plecoptera: Capniidae) from Southeastern China
FIGURE 13. Type locality of Capnia zijinshana, sp. nov. indicated by red dot, Nanjing, Jiangsu Province, China.
FIGURE 2–4 in A remarkable new species of winter stonefly (Plecoptera: Capniidae) from Southeastern China
FIGURE 2–4. Capnia zijinshana, sp. nov. Male terminalia: 2. Dorsal view, 3. Lateral view, 4. Ventral view.
FIGURES 8–10 in A remarkable new species of winter stonefly (Plecoptera: Capniidae) from Southeastern China
FIGURES 8–10. Capnia zijinshana, sp. nov. 8. Forewings, dorsal view, 9. Cercus, dorsal view, 10. Female terminalia, ventral view.
FIGURE 7 in A remarkable new species of winter stonefly (Plecoptera: Capniidae) from Southeastern China
FIGURE 7. Capnia zijinshana, sp. nov. Male thoracic sclerites, ventral view (P: prothoracic; Me: mesothoracic; M: metathoracic; Bs: basisternum; Cx: coxa; Etn: eutrochantin; Fs: furcasternum; Fsa: furcasternal arm; Fsp: furcasternal pit; Kes: katepisternum; Lcs: lateral cervical sclerite; Pfs: postfurcasternum; Po: postcoxal bridge; Pr: precoxal bridge; Prs: presternum; Ss: spinasternum; St1: Sternite 1; Tn: trochantin; Tr: trochanter).
FIGURES 1–9 in Notes on winter flies Trichoceridae (Diptera) of Mongolia with description of new species
FIGURES 1–9. Trichocera (Saltrichocera) chuluuta sp. nov. 1) male antenna, proximal segments (holotype); 2) wing; 3) male tarsal claw (MZVU-T0053); 4) general view of male terminalia, lateral view; 5) general view of male terminalia, ventral view; 6) male terminalia, aedeagal complex, lateral view (MZVU-T0053); 7) ovipositor, lateral view; 8) genital plate; 9) spermatheca with sclerotized part of spermathecal duct (7–9 paratype, MZVU-T0052). Bars = 0.25 mm. Abbreviations: br, bridge; mp, mesal process; gncx, gonocoxite; gnst, gonostylus; ba, basal apodeme; la, lateral apodeme, p, paremere; va, vaginal apodeme; gp, genital plate; sg, supragenital plate; VIIIs, sternite VIII.
SCU Personal Librarian Program Winter 2016 Librarian Survey Responses
<p>Santa Clara University Library piloted a Personal Librarian Program for Transfer Students during the Winter 2015 quarter and then launched the full program in Fall 2015. In January of 2016, we sent a survey to the 11 librarians participating in the program. These data come from the 10 responses.</p>
WACCMX DART 2010 Northern Hemisphere Winter Temperature and Wind
The dataset contains hourly simulation output from the Whole Atmosphere Community Climate Model with thermosphere-ionosphere eXtension (WACCMX) with data assimilation from the Data Assimilation Research Testbed (DART) ensemble Kalman filter. Results are based on the ensemble mean of 40 WACCMX DART ensemble members. The dataset covers the time period of December 2009 to March 2010, and includes the WACCMX DART temperature and wind fields. The data are in support of publication "Intercomparison of Middle Atmospheric Meteorological Analyses for the Northern Hemisphere Winter 2009-2010."
Code for ESS publication - Quantifying the uncertainty of ice-crystal-related parameters to simulated winter precipitation over the Korean Peninsula
<p>In this repository, we include the source codes used in the ESS publication "Quantifying the uncertainty of ice-crystal-related parameters to simulated winter precipitation over the Korean Peninsula"</p><p>There are WDM6 codes and parameter sets in "Model_codes" for WRF simulation, model output files in "Model_outputs", AWS datas in "AWS", Scripts for calculating statistical values in a table in "Table", and "Figures" has a scripts for the figure of the manuscript.</p><p>In "Model_codes", the text file starting with LHS is 50 parameters sets generated by the Latin hypercube sampling method, and the text files starting with the case are the set of parameters used for the SEN experiment for each case. There are two WDM6 codes, the CTL code uses the parameter set in Table 1 as CTL, and the LHS code uses the 50 parameters set in the text file.</p><p>In "Figures", there is a script corresponding to each figure of the paper.</p>
O_BALGZAND - Eurasian oystercatchers (Haematopus ostralegus, Haematopodidae) wintering on Balgzand (the Netherlands)
<p><em>O_BALGZAND - Eurasian oystercatchers (Haematopus ostralegus, Haematopodidae) wintering on Balgzand (the Netherlands)</em> is a bird tracking dataset published by <a href="http://www.sovon.nl">Sovon</a>, the <a href="https://ibed.uva.nl">University of Amsterdam</a> and the <a href="https://www.inbo.be/en">Research Institute for Nature and Forest (INBO)</a>. It contains animal tracking data collected during <a href="https://chirpscholekster.nl">CHIRP</a> (Cumulative Human Impact on biRd Populations) for the study <strong>O_BALGZAND</strong> using trackers developed by the University of Amsterdam Bird Tracking System (UvA-BiTS, <a href="http://www.uva-bits.nl">http://www.uva-bits.nl</a>). The study was operational from 2010 to 2014. In total 22 individuals of Eurasian oystercatchers (<em>Haematopus ostralegus</em>) have been tagged while overwintering in the Balgzand area in the Western Wadden Sea (the Netherlands), mainly to study how they utilize intertidal flats in relation to food availability in winter. Data are uploaded from the UvA-BiTS database to Movebank and from there archived on Zenodo (see <a href="https://github.com/inbo/bird-tracking">https://github.com/inbo/bird-tracking</a>). No new data are expected.</p> <p>See van der Kolk et al. (2022, <a href="https://doi.org/10.3897/zookeys.1123.90623">https://doi.org/10.3897/zookeys.1123.90623</a>) for a more detailed description of this dataset.</p> <h2>Files</h2> <p>Data in this package are exported from Movebank study <a href="https://www.movebank.org/cms/webapp?gwt_fragment=page=studies,path=study1605798640">1605798640</a>. Fields in the data follow the <a href="http://vocab.nerc.ac.uk/collection/MVB">Movebank Attribute Dictionary</a> and are described in <code>datapackage.json</code>. Files are structured as a <a href="https://specs.frictionlessdata.io/data-package/">Frictionless Data Package</a>. You can access all data in R via <code>https://zenodo.org/records/10053932/files/datapackage.json</code> using <a href="https://frictionlessdata.github.io/frictionless-r/">frictionless</a>.</p> <ul> <li><strong>datapackage.json</strong>: technical description of the data files.</li> <li><strong>O_BALGZAND-reference-data.csv</strong>: reference data about the animals, tags and deployments.</li> <li><strong>O_BALGZAND-gps-yyyy.csv.gz</strong>: GPS data recorded by the tags, grouped by year.</li> <li><strong>O_BALGZAND-acceleration-yyyy.csv.gz</strong>: acceleration data recorded by the tags, grouped by year.</li> </ul> <h2>Acknowledgements</h2> <p>These data were collected by Sovon in collaboration with the University of Amsterdam (UvA). Funding was provided by the project Monitoring abundance, composition, development and spatial variation in macrozoobenthos and birds of the national programme for sea and coastal research (ZKO) of the Netherlands Organization for Scientific Research (NWO). Additional funding was provided by NAM and supported by the UvA-BiTS virtual lab on the Dutch national e-infrastructure, built with support of LifeWatch, the Netherlands eScience Center, SURFsara and SURFfoundation. The dataset was published with funding from Stichting NLBIF - Netherlands Biodiversity Information Facility.</p>
Case Study Scenarios (CSS) 7 for Southern Hemisphere Winter
Open the record for dataset details and reuse information.
Fig. 3 in Predatory Hypogaeic Beetles are Attracted to Buried Winter Moth (Lepidoptera: Geometridae) Pupae: Evidence Using a New Trap Design
Fig. 3. Small beetles (,1.5 mm in the smallest dimension) captured in baited (shaded) and control (open) hypogaeic traps at four sites in British Columbia between July and September 1991. Bars indicate standard errors.
Fig. 2 in Predatory Hypogaeic Beetles are Attracted to Buried Winter Moth (Lepidoptera: Geometridae) Pupae: Evidence Using a New Trap Design
Fig. 2. Mean number of beetle larvae captured in pitfall traps and hypogaeic traps with and without winter moth pupae at four sites in British Columbia during July 1991. Bars indicate standard errors.
Data from: Snowmobile noise alters bird vocalization patterns during winter and pre-breeding season
Open the record for dataset details and reuse information.
Social network connections are positively related to temperature in winter flocks of black-capped chickadees
<p>Social species often share with conspecifics the responsibilities of finding food, defending against predators or caring for young. Within a social group, individuals' roles can be influenced by age, sex, and personality. Black-capped chickadees, <em>Poecile atricapillus</em>, are nonmigratory passerine birds that spend their winters living in social flocks. Due to the intense metabolic stress placed on chickadees by low winter temperatures, the role of flocking in resource localization and allocation among flockmates is an important aspect of individual fitness, especially during winter. Understanding changes in flock structure in response to the environment may provide insight into the consequences of social behaviour variability on overwinter survival. Here, we used social network analysis to quantify the effects of ambient temperature on social foraging behaviour in winter flocks of black-capped chickadees over two winters in Massachusetts, USA. Contrary to our expectations, we found that two measures of social connection were higher on warm days than on cold days. We found no evidence that sex or dominance rank influenced birds' behavioural responses to temperature. Furthermore, contrary to previous research, we found male-biased sex ratios in most of our flocks. Our findings that birds had more and stronger social connections on warm days and that an individual's response to temperature was not related to their status in a flock beg further investigation as to the specific costs and benefits of flocking in chickadees and other birds.</p>
Supporting Data for "The Toba Eruption 74,000 Years ago Strengthened the Indian Winter Monsoon - Evidence from Coccolithophores" - AGU Paleoceanography and Paleoclimatology
<p>All data tables (Tables S1-S9) supporting the manuscript "The Toba Eruption 74,000 Years Ago Strengthened the Indian Winter Monsoon - Evidence from Coccolithophores". Files are uploaded as .csv or in Excel (.xlsx) formats, both compressed as a .zip file. See below for a brief description of the contents of each table found in both formats. Please refer to the manuscript for details of the referenced publications in the dataset.</p> <p> </p> <table> <tbody> <tr> <td>Table</td> <td>Table Description</td> </tr> <tr> <td>S1</td> <td>Ages used for calculating the error-weighted mean age of the YTT eruption (Crick et al., 2021; Du et al., 2019; Mark et al., 2017; Svennson et al., 2013).</td> </tr> <tr> <td>S2</td> <td>RAMPFIT parameters used to construct the modified age model in this study.</td> </tr> <tr> <td>S3</td> <td>Resampled L* reflectance data (Deplazes et al., 2013c) used for RAMPFIT modeling.</td> </tr> <tr> <td>S4</td> <td>Modified age model used in this study.</td> </tr> <tr> <td>S5</td> <td><em>Florisphaera profunda</em> and <em>Helicosphaera carteri</em> relative abundance, estimated primary productivity, and paleo-temperature estimates based on the <em>Gephyrocapsa </em>transfer function.</td> </tr> <tr> <td>S6</td> <td>Calculations of the duration of the enclosed interval and the lower limb using various age models.</td> </tr> <tr> <td>S7</td> <td>Summary of calculations of sedimentation rates and the estimated duration of the enclosed interval.</td> </tr> <tr> <td>S8</td> <td>Comparison of selected "warm" and "cold" periods between the dataset of Rogalla & Andruleit (2005) and this study.</td> </tr> <tr> <td>S9</td> <td>Original and adjusted age models of selected marine (Deplazes et al., 2013c) and terrestrial proxy records (Andersen et al., 2004; Du et al., 2019; Svensson et al., 2013) in this study.</td> </tr> </tbody> </table>
CMIP6 models rarely simulate Antarctic winter sea-ice anomalies as large as observed in 2023
<p><span>Contains processed data to create all figures and tables from the publication Diamond et al. (2024) </span><span>CMIP6 models rarely simulate Antarctic winter sea-ice anomalies as large as observed in 2023; Geophysical Research Letters </span><span>[Full reference available on publication]</span></p> <p><span> </span></p> <p><span>Directory structure and associated contents listed below. Folders contain all data required to make corresponding figure, apart from where indicated. Full description of analysis in Diamond et al. (2024). Unless otherwise indicated, 'SIE' refers to August Antarctic SIE.</span></p> <p><span> </span></p> <p><span>F1/</span></p> <p><span>f1a_obs_ts.csv: Timeseries of 1979-2023 SIE </span></p> <p><span>f1b_all_instances.csv: All instances (labelled by model, simulation, and simulation year) where an anomaly of magnitude SIE_2023 was detected. SIE timeseries from years -20 to +20 about each anomaly.</span></p> <p><span>f1b_quartiles.csv: Upper and lower quartiles, mean, and median, computed over all instances.</span></p> <p><span> </span></p> <p><span>F2/</span></p> <p><span>F2_a.csv: 5--95% range of SIE variability dataset, for all model simulations, and observations.</span></p> <p><span>F2_b.csv: T_aug23, computed using ECDFs, for all model simulations, and multi-model ensemble.</span></p> <p><span>F2_c.csv: T_aug23, computed using GEVs, for all model simulations, and multi-model ensemble.</span></p> <p><span> </span></p> <p><span>F3/</span></p> <p><span>Data for all figures is already provided elsewhere:</span></p> <p><span>F3a: for observations in SF3/SF3_obs_dataset.csv, and for simulations in SF3/SF3_simulations.csv.</span></p> <p><span>F3b: for multi-model ensemble T_aug23 with associated errors in SF6/SF6_all.csv</span></p> <p><span>F3c: for GEV_estimated T_aug23 for all simulations and models in SF6/SF6_all.csv; and<span> </span>5--95% ranges of SIE variability datasets in F2/F2_a.csv</span></p> <p><span> </span></p> <p><span>~</span></p> <p><span>SF1/</span></p> <p><span>SF1_all.csv: SIE timeseries for all model simulations, and associated moving averages.</span></p> <p><span>SF2/</span></p> <p><span>sf2_all.csv: SIE decadal means and ranges for all model simulations.</span></p> <p><span>sf2_quartiles.csv: taken over all simulations above - mean decadal mean in each bin; and lower quartile, median and upper quartile of the decadal ranges in each bin.</span></p> <p><span>SF3/</span></p> <p><span>SF3_obs_dataset.csv: SIE variability dataset for 1979-2023 observations.</span></p> <p><span>SF3_simulations.csv: SIE variability datasets for all model simulations</span></p> <p><span>SF4/</span></p> <p><span>F4_a.csv: p_aug23, computed using ECDFs, for all model simulations, and multi-model ensemble.</span></p> <p><span>F4_b.csv: p_aug22, computed using ECDFs, for all model simulations, and multi-model ensemble.</span></p> <p><span>F4_c.csv: T_aug23, computed using GEVs, for all model simulations, and multi-model ensemble.</span></p> <p><span>F4_d.csv: for all model simulations: p-value that simulation SIE variability dataset is drawn from same probability distribution as observations. Computed using Kolmogorov-Smirnoff 2-sample test.</span></p> <p><span>SF5/</span></p> <p><span>Data for both SF5a and b are already provided in F1/f1b_all_instances.csv.</span></p> <p><span>SF6/</span></p> <p><span>SF6_all.csv: for all model simulations, and multi-model ensemble, p_aug23 and T_aug23, with lower and upper errors (computed from 5--95% confidence interval using bootstrapping)</span></p> <p><span>SF7/</span></p> <p><span>Data for SF7a is already provided elsewhere: for observations in SF3/SF3_obs_dataset.csv, and for simulations in SF3/SF3_simulations.csv.</span></p> <p><span>SF7_all.csv: as for SF6_all.csv, but instead using subset of models.</span></p>
Aesculus glabra (Hippocastanaceae) - twig - close-up winter leaf scar/bud
Image of Aesculus glabra (Hippocastanaceae) - twig - close-up winter leaf scar/bud
Aesculus pavia (Hippocastanaceae) - twig - close-up winter terminal bud
Image of Aesculus pavia (Hippocastanaceae) - twig - close-up winter terminal bud
Aesculus pavia (Hippocastanaceae) - twig - winter overall
Image of Aesculus pavia (Hippocastanaceae) - twig - winter overall
Aesculus pavia (Hippocastanaceae) - twig - close-up winter leaf scar/bud
Image of Aesculus pavia (Hippocastanaceae) - twig - close-up winter leaf scar/bud
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.
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.
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.
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.