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.
2,079
datasets available to search
ShareScore release 0.9.0
Dataset results
2,079 results for “Cold”
Fig. 4 in Bivalves from Cretaceous cold-seep deposits on Hokkaido, Japan
Fig. 4. Acila (Truncacila) from the Campanian Yasukawa seep site on Hokkaido, Japan. A. Acila (Truncacila) hokkaidoensis Nagao, 1932 (UMUT MM 29531), lateral view on left valve (A1) and dorsal view (A2). B. Acila (Truncacila) himenourensis Tashiro, 1985 (UMUT MM 29532), lateral view on right valve (B1), dorsal view showing escutcheon (B2), and dorsal view showing lunule (B3).
Fig. 3 in Bivalves from Cretaceous cold-seep deposits on Hokkaido, Japan
Fig. 3. The protobranch bivalve Nucinella gigantea Amano, Jenkins, and Hikida, 2007 from the Cenomanian (Upper Cretaceous) seep carbonate at Kanajirisawa, Obira town, Hokkaido. A. Specimen (UMUT MM 29527) with drill hole and a healed shell injury. B. Articulated specimen (UMUT MM 29528) in dorsal view (B1) and right valve showing radial internal striations (B2). C. Hinge of right valve (UMUT MM 29529). D. Hinge of left valve (UMUT MM 29530).
Fig. 2 in Bivalves from Cretaceous cold-seep deposits on Hokkaido, Japan
Fig. 2. Solemyid bivalves from Cretaceous cold seep deposits on Hokkaido, Japan. A, B. Acharax mikasaensis sp. nov., from the Albian Ponbetsu site in Mikasa City. A. Paratype (UMUT MM 29523) showing external sculpture, dorsal (A1) and lateral (A2) views. B. Holotype (UMUT MM 29524) showing features of the shell interior; arrow in B1 indicates posterior adductor muscle scar, B2 shows a dorsal view, white arrow in B3 indicates the anterior adductor muscle scar, black arrow indicates the narrow band that ascends from its posteroventral margin. C–E. Acharax cretacea Kanie and Nishida, 2000, from the Campanian Yasukawa site. C. Right valve of a slightly deformed, medium−sized specimen (UMUT MM 29525), length 34 mm. D. Small specimen (UMUT MM 29526) (length 8 mm) showing the rounded posterior shell margin, dorsal (D1) and lateral (D2) views. E. Cross section of shell showing the prismatic microstructure.
Fig. 1. Maps showing the fossiliferous seep deposits. A. The Albian Ponbetsu site. B. The Campanian Yasukawa and Omagari sites. C. The Cenomanian Kanajirisawa site. D in Bivalves from Cretaceous cold-seep deposits on Hokkaido, Japan
Fig. 1. Maps showing the fossiliferous seep deposits. A. The Albian Ponbetsu site. B. The Campanian Yasukawa and Omagari sites. C. The Cenomanian Kanajirisawa site. D. Overview.
Seefeld Cold-Air Pool Experiment (SEECAP): Meteorological Measurement Data
<p>The Seefeld Cold-Air Pool Experiment (SEECAP) focused on the cross-country skiing area Olympiaregion Seefeld and in particular the topographic setting in the Nordic ski arena which favors the formation of cold-air pools and took place between December 2019 and March 2020. Six automatic weather stations and 41 unventilated temperature sensors were distributed within the valley to gain insight into the spatial structure of the cold-air pool in Seefeld. The study site as well as locations and instrumentation of each station are described in Rudolph (2022) and Rauchöcker et al. (2024d). This upload contains meteorological measurement data associated with SEECAP. WRF simulations were performed for two nights, representing an ideal evolution of the cold-air pool (January 12 and January 13 2020) and a disrupted evolution (January 16 and January 17 2020), respectively. The output data of simulations with snow cover for the night between January 16 and January 17 2020 are published in Rauchöcker et al. (2024a) and in Rauchöcker et al. (2024c) for the night between January 12 and January 13 2020. Simulation output without snow cover is available for the night between January 16 and January 17 2020 in Rauchöcker et al. (2024b).</p> <h3><strong>Automatic Weather Stations</strong></h3> <p>Measurement data of the six automatic weather stations can be found in <em>momaa.zip</em>. The folder includes one file for each station (<em>MOMAA02.dat, MOMAA03.dat, MOMAA04.dat, MOMAA07.dat, MOMAA08.dat</em> and <em>MOMAA10.dat</em>). These stations measured temperature, pressure, humidity, net radiation, wind speed and wind direction at 1-min intervals. A figure showing the location of the different stations is included as well (<em>Stations.pdf</em>); the station names of the automatic weather stations are abreviated in the legend of that figure (e.g. M04 instead of MOMAA04). Incoming and outgoing longwave and shortwave radiation, latent heat flux and sensible heat flux were measured at MOMAA04 and MOMAA08. The radiation data can be found in <em>MOMAA04_rad.dat</em> and <em>MOMAA08_rad.dat</em> and eddy covariance data in <em>MOMAA04_turb.csv</em> and <em>MOMAA08_turb.csv</em>, respectively.</p> <h3><strong>Temperature Sensors</strong></h3> <p>Data from the unventilated temperature sensors can be found in <em>hobos.zip</em>, which contains a file for each sensor and the file names refer to the naming convention in <em>Stations.pdf</em>. Most sensors were located along the valley floor and along a ski jump on its southeastern slope. At nine locations, temperature sensors were mounted at two heights (1 m and 2 m above the ground). File names reflect that height by adding <em>_1m</em> or <em>_2m</em> to the file name (e.g. <em>A_1m.txt</em> and <em>A_2m</em>.txt). Locations that had only one sensor were named according to the station name (e.g. <em>M.txt</em>). The remaining sensors were used for vertical profiles at 3 different levels of a walk-up tower (<em>TOWER_2m.txt, TOWER_2ndfloor.txt</em> and <em>TOWER_top.txt</em>) and at a bridge (VP; labeled from <em>VP_050.txt</em> at 0.5m above the ground to <em>VP_630.txt</em> at 6.3m). A pseudo-vertical profile for the sensors along the slope of the valley, at the walk-up tower down to the lowest station in the upper basin (top to bottom, M03, S4, S3, S2, S1, M10, G, H, M04) can be found in <em>PseudoProfile_basin.mat</em>. </p>
Ocean model simulations in cold-water coral ecosystems off the coasts of Angola and Namibia in the Southeast Atlantic: Setup, boundary conditions and model results.
<p>The dataset contains all essential data for the setup of high-resolution local area model implementations using the ROMS-AGRIF model version 3.1 in two cold-water coral regions off the coasts of Angola and Namibia in the Southeast Atlantic. The data include computational grids, initialization fields (temperature, salinity), and boundary conditions (temperature, salinity, currents, and sea surface height) for each model area. It also includes model output, which has been used in different studies of the local oceanography of the region .</p> <p>Initialization, forcing and output data for each ROMS-AGRIF model implementation are provided in two compressed archive data files:</p> <ul> <li>Angola Margin: Angola_Model_Setup1.7z</li> <li>Namibia Margin: Namibia_Model_Setup1.7z</li> </ul> <p>The data set description is provided in the file:</p> <ul> <li>DataSet_Description_Angola_Namibia_Model.pdf</li> </ul> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div>
Microstructure and mechanical performance of cold spray Cr coatings
<p>This dataset includes the data associated with the publication titled "Microstructure and mechanical performance of cold spray Cr coatings", published in Journal of Nuclear Materials (https://doi.org/10.1016/j.jnucmat.2024.155492). The zip folder contains the following items:</p> <ol> <li>Data for producing the grain size distribution plots.</li> <li>Microhardness data for the reported values.</li> <li>Nanohardness data.</li> <li>SEM images that were analysed to produce the porosity distribution plot.</li> <li>SEM images that were used to quantify the interfacial roughness and thickness variation of the two coatings.</li> <li>XRD data for measuring residual stresses in the coatings.</li> <li>In-situ DIC data to quantify the crack density and average strain in the coatings after in-situ tensile testing.</li> <li>A jupyter lab notebook to analyse and produce the plots that were presented in the publication.</li> </ol>
Microstructure and mechanical performance of cold spray Cr coatings
<p>This dataset includes the data associated with the publication titled "Microstructure and mechanical performance of cold spray Cr coatings", published in Journal of Nuclear Materials (https://doi.org/10.1016/j.jnucmat.2024.155492). The zip folder contains the following items:</p> <ol> <li>Data for producing the grain size distribution plots.</li> <li>Microhardness data for the reported values.</li> <li>Nanohardness data.</li> <li>SEM images that were analysed to produce the porosity distribution plot.</li> <li>SEM images that were used to quantify the interfacial roughness and thickness variation of the two coatings.</li> <li>XRD data for measuring residual stresses in the coatings.</li> <li>In-situ DIC data to quantify the crack density and average strain in the coatings after in-situ tensile testing.</li> <li>A jupyter lab notebook to analyse and produce the plots that were presented in the publication.</li> </ol>
Datasets from the KDD 2021 article "A Semi-Personalized System for User Cold Start Recommendation on Music Streaming Apps"
<p>We publicly release the anonymized <em>song_embeddings.parquet user_embeddings.parquet user_features_test.parquet user_features_train.parquet user_features_validation.parquet</em> datasets, with each of the TT-SVD or UT-ALS versions of embeddings, from the music streaming platform Deezer, as described in the article "<em>A Semi-Personalized System for User Cold Start Recommendation on Music Streaming Apps"</em> published in the proceedings of the 27TH ACM SIGKDD conference on knowledge discovery and data mining (<em>KDD 2021</em>). The paper is available <a href="https://arxiv.org/abs/2106.03819">here</a>.</p> <p>These datasets are used in the GitHub repository <a href="https://github.com/deezer/semi_perso_user_cold_start">deezer/semi_perso_user_cold_start</a> to reproduce experiments from the article.</p> <p>Please cite our paper if you use our code or data in your work.</p>
Numerical study on advective fog formation and its characteristic associated with cold water upwelling
<p>Recent rapid industrial development in the Korean Peninsula has increased the impacts of meteorological disasters on marine and coastal environments. In particular, marine fog driven by summer cold water masses can inhibit transport and aviation; yet a lack of observational data hinders our understanding. The present study aimed to analyze the differences in cold water mass formation according to sea surface temperature (SST) resolution and its effects on the occurrence and distribution of sea fog over the Korean Peninsula from June 23–July 1, 2016, according to the Weather Research and Forecasting model. Data from the Final Operational Model Global Tropospheric Analyses were provided at 1° and 0.25° resolutions and NOAA real-time global SST (RTG-SST) data were provided at 0.083°. While conventional analyses have used initial SST distributions throughout the entire simulation period, small-scale, rapidly developing oceanic phenomena (e.g., cold water masses) lasting for several days act as an important mediating factor between the lower atmosphere and sea. RTG-SST was successful at identifying fog presence and maintained the most extensive horizontal distribution of cold water masses. In addition, it was confirmed that the difference in SST resolution led to varying sizes and strengths of the warm pools that provided water vapor from the open sea area to the atmosphere. On examining the horizontal water vapor transport and the vertical structure of the generated sea fog using the RTG-SST, water vapors were found to be continuously introduced by the southwesterly winds from June 29 to 30, creating a fog event throughout June 30. Accordingly, high-resolution SST data must be input into numerical models whenever possible. It is expected that the findings of this study can contribute to the reduction of ship accidents via the accurate simulation of sea fog.</p>
FIG. 14 in A new species of Hoploscaphites (Ammonoidea: Ancyloceratina) from cold methane seeps in the Upper Cretaceous of the U.S. Western Interior
FIG. 14. Hoploscaphites gilli Cobban and Jeletzky, 1965. A–C. USNM 132622, macroconch, cast, Pierre Shale, USGS Mesozoic loc. D1871, Niobrara County, Wyoming. A, Apertural; B, ventral; C, left lateral. D–F. USNM 547334, macroconch, Baculites gregoryensis Zone, Pierre Shale, USGS Mesozoic loc. D1900, Niobrara County, Wyoming. D, Apertural; E, ventral; F, left lateral. G–I. USNM 547333, macroconch, Baculites gregoryensis Zone, Pierre Shale, USGS Mesozoic loc. D1900, Niobrara County, Wyoming. G, Apertural; H, ventral; I, left lateral. J–L. USNM 547600, microconch, Baculites perplexus Zone, Pierre Shale, USGS Mesozoic loc. D264, Douglas County, Colorado. J, Right lateral; K, apertural; L, ventral. M–O. USNM 547601, microconch, Baculites perplexus Zone, Pierre Shale, USGS Mesozoic loc. D398, Crook County, Wyoming. M, Right lateral; N, apertural; O, ventral. P–R. USNM 547602, microconch, Baculites perplexus Zone, Cody Shale, USGS Mesozoic loc. D255, Converse County, Wyoming. P, Right lateral; Q, apertural; R, ventral. Specimens ×1. For locality information, see Cobban and Jeletzky (1965).
FIG. 13 in A new species of Hoploscaphites (Ammonoidea: Ancyloceratina) from cold methane seeps in the Upper Cretaceous of the U.S. Western Interior
FIG. 13. Jaws and hooklike structures attributed to Hoploscaphites gilberti, n. sp., or an as yet undescribed, more coarsely ornamented species of Hoploscaphites, Pierre Shale, South Dakota. A. Lower jaw showing the midline slit, ventral view, apex on top, AMNH 64532, Baculites scotti Zone, Pierre Shale, AMNH loc. 3386, Butte County, South Dakota. B. Upper jaw, apex on top, AMNH 64547, Baculites scotti Zone, Pierre Shale, AMNH loc. 3386, Butte County, South Dakota. C. Hooklike structure showing one of the points projecting to the upper right, AMNH 63530, Didymoceras nebrascense Zone, Pierre Shale, AMNH loc. 3440, Butte County, South Dakota. D. Hooklike structure with the basal portion exposed on the bottom, AMNH 63531, Didymoceras nebrascense Zone, Pierre Shale, AMNH loc. 3340, Fall River County, South Dakota. E. Hooklike structure with one point complete and one point broken, AMNH 64533, Didymoceras nebrascense Zone, Pierre Shale, AMNH loc. 3340, Fall River County, South Dakota.
FIG. 12 in A new species of Hoploscaphites (Ammonoidea: Ancyloceratina) from cold methane seeps in the Upper Cretaceous of the U.S. Western Interior
FIG. 12. Sutures of Hoploscaphites gilberti, n. sp., and H. gilli Cobban and Jeletzky, 1965. A. H. gilberti, n. sp., USNM 547302, macroconch, last suture, Baculites scotti Zone, Pierre Shale, USGS Mesozoic loc. D1509, Pueblo County, Colorado. B. H. gilberti, n. sp., USNM 547344, microconch, next to last suture, Baculites scotti Zone, Pierre Shale, USGS Mesozoic loc. D1362, Pueblo County, Colorado. C. H. gilli, USNM 547334, macroconch, third from last suture, Baculites gregoryensis Zone, Pierre Shale, USGS Mesozoic loc. D1900, Niobrara County, Wyoming. Abbreviations: x, tubercle; E, ventral lobe; E/L, first lateral saddle between ventral and lateral lobes; L, lateral lobe.
FIG. 4 in A new species of Hoploscaphites (Ammonoidea: Ancyloceratina) from cold methane seeps in the Upper Cretaceous of the U.S. Western Interior
FIG. 4. Size-frequency histogram of Hoploscaphites gilberti, n. sp., Pierre Shale, Baculites scotti–Didymoceras nebrascense zones, based on the samples in tables 1 and 2.
FIG. 3. Scaphite terminology. A in A new species of Hoploscaphites (Ammonoidea: Ancyloceratina) from cold methane seeps in the Upper Cretaceous of the U.S. Western Interior
FIG. 3. Scaphite terminology. A. Macroconch, right lateral view. The shell is oriented in the probable floating position when the body was withdrawn into the body chamber. The umbilical seam of the shaft in macroconchs is straight with a slight umbilical bulge. Abbreviations: HP = whorl height along the long axis; HS = whorl height at midshaft; HH = whorl height at the point of recurvature; LMAX = maximum length along the long axis; apt. <= apertural angle. B. Microconch, right lateral view. In Hoploscaphites gilberti, n. sp., the microconch is approximately 80% of the size of the macroconch or, inversely, the macroconch is approximately 125% the size of the microconch. The umbilical seam of the shaft in microconchs is curved and follows the curvature of the venter. Specimens are photographed from lateral, ventral, and apertural views, as shown. Asterisks indicate the up position in each view. C. Close-up of the umbilicus of the macroconch showing the umbilical diameter measured parallel to the long axis (UD). D. View of the venter of the body chamber at midshaft, with the adoral direction toward the top, showing the width of the venter (VS), as measured between the ventrolateral margins.
FIG. 1 in A new species of Hoploscaphites (Ammonoidea: Ancyloceratina) from cold methane seeps in the Upper Cretaceous of the U.S. Western Interior
FIG. 1. Map of the middle Campanian Baculites scotti Zone showing the shoreline along the western margin of the Western Interior Seaway (reproduced from Cobban et al., 1994). The numbered dots indicate USGS and AMNH localities cited in the text, as listed in the appendix.
FIG. 2 in A new species of Hoploscaphites (Ammonoidea: Ancyloceratina) from cold methane seeps in the Upper Cretaceous of the U.S. Western Interior
FIG. 2. Tepee buttes in the Pierre Shale of Colorado, Wyoming, and South Dakota. A. Tepee butte along the Front Range of Colorado, as illustrated by Gilbert (1896: pl. 67). B. Overview of tepee buttes at AMNH loc. 3494,Weston County,Wyoming. Photo by S. Klofak. C. Close-up of tepee butte at AMNH loc. 3494,Weston County, Wyoming. Photo by M. Garb. D. Close-up of tepee butte at AMNH loc. 3344, Butte County, South Dakota, with three of the authors for scale. Photo by B. Brown. E. Tepee butte near AMNH loc. 3344, Butte County, South Dakota. The shale surrounding the limestone core of the tepee butte has weathered away, exposing the core. Photo by B. Brown. F. Macroconch of Hoploscaphites gilberti, n. sp., AMNH loc. 3494, Weston County, Wyoming. Photo by M. Garb.
Figure 1 in Provannid and provannid-like gastropods from the Late Cretaceous cold seeps of Hokkaido (Japan) and the fossil record of the Provannidae (Gastropoda: Abyssochrysoidea)
Figure 1. Sketch map of the provannid-bearing localities discussed in the text. A, Nakagawa area. B, Tappu area. C, Hokkaido of Japan with Cretaceous Yezo fore-arc basin deposits indicated.
Figure 4 in Provannid and provannid-like gastropods from the Late Cretaceous cold seeps of Hokkaido (Japan) and the fossil record of the Provannidae (Gastropoda: Abyssochrysoidea)
Figure 4. Juvenile Recent Provannidae and Abyssochrysidae (A–D) and patterns of shell decolation and preservation (E–F). A, E, Desbruyeresia spinosa Warén & Bouchet, 1993 from North Fiji Basin (specimen illustrated also in Warén & Bouchet, 1993: fig. 44D). A, decollate protoconch; E, details of decollation; note no signs of shell abrasion on the protoconch edges B, decollated protoconch of Alviniconcha hessleri Okutani & Ohta, 1988 from north Fiji Basin (specimen illustrated also in Warén & Bouchet, 1993: fig. 44C). C, paucispiral protoconch of Provanna segonzaci Warén & Ponder, 1991 from Lau Basin. D, Abyssochrysos sp. from off New Caledonia; note axial ribs and spiral riblets at the beginning of paucispiral protoconch. F, decollation pattern of terrestrial gastropod Rumina decollata Linné, 1758. G, typical pattern of in-vivo apex erosion in Phymorhynchus sp. shell from the Lucky Strike site on the Mid-Atlantic Ridge; note shell surface abrasion but no sign of decollation.
Sharpening of Cold Season Storms over the Western US: companion dataset
<p>This folder includes the intermediate data and scripts (of plots in the main text) for the following manuscript:</p> <p>Chen et al., Sharpening of Cold Season Storms over the Western US.</p> <p>The simulations are done using WRF V3.8 at PNNL. A historical simulation ("NARR") is done for 1981-2010, and five future simulations ("CanESM2", "CESM1-CAM5", "GFDL-ESM2M", "HadGEM2-ES", "MPI-ESM-MR") are done for 2041-2070 using the Pseudo Global Warming (PGW) approach. For the WRF model configuration and the simulation details, please refer to the abovementioned manuscript and Chen et al. (2018). The precipitation objects are then identified using the 5 mm/day threshold.</p> <p>The paths in the scripts are self-consistent. You can just download the .zip file and run the Jupyter notebook to reproduce the figures in the paper.</p> <p> </p> <p>Reference:</p> <p>Chen, X., L. R. Ruby, Y. Gao, Y. Liu, M. Wigmosta, and M. Richmond (2018), Predictability of Extreme Precipitation in Western U.S. Watersheds Based on Atmospheric River Occurrence, Intensity, and Duration, <em>Geophys. Res. Lett.</em> doi: <a href="https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2018GL079831">10.1029/2018GL079831</a></p> <p>Chen, X., L. R. Ruby, Y. Gao, Y. Liu, and M. Wigmosta (2023), Sharpening of cold-season storms over the western United States, Nat. Clim. Change. doi: <a href="https://www.nature.com/articles/s41558-022-01578-0">10.1038/s41558-022-01578-0</a></p>
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.