Skip to main content
Powered by ShareScore

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.

935

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

935 results for “probability”

Learn how ShareScore rates datasets ↗
zenodo40/100

Рис. 11. Гидрометеоролого-технологическая блок-схема хоЗяйственных решений (di) и гидрометеорологических долгосрочных прогноЗов (Pi), необходимых для их принятия. Fig. 11. Hydrometeorological-technological block diagram of economic decisions (di) and hydrometeorological long-term forecasts (Pi) necessary for their adoption. in Review of methods for the forecast of mollusk's spat productivity in sea-farms of Primorye and probable ways of their enhancement

Рис. 11. Гидрометеоролого-технологическая блок-схема хоЗяйственных решений (di) и гидрометеорологических долгосрочных прогноЗов (Pi), необходимых для их принятия. Fig. 11. Hydrometeorological-technological block diagram of economic decisions (di) and hydrometeorological long-term forecasts (Pi) necessary for their adoption.

opencc-by-4.0Dec 2018View details →
zenodo40/100

Рис. 5. Зависимость начала нереста приморского гребешка и тихоокеанской устрицы в Зал. Петра Великого от суммы поверхностных температур (март–июнь): 1 – начало нереста приморского гребешка; 2 – начало нереста тихоокеанской устрицы; 3 – сумма поверхностных температур За период с марта по июнь. in Review of methods for the forecast of mollusk's spat productivity in sea-farms of Primorye and probable ways of their enhancement

Рис. 5. Зависимость начала нереста приморского гребешка и тихоокеанской устрицы в Зал. Петра Великого от суммы поверхностных температур (март–июнь): 1 – начало нереста приморского гребешка; 2 – начало нереста тихоокеанской устрицы; 3 – сумма поверхностных температур За период с марта по июнь.

opencc-by-4.0Dec 2018View details →
zenodo40/100

Рис. 9. Блок-схема прогноЗирования сроков установки коллекторов и оЖидаемого количества спата [Белогрудов, 1980]. in Review of methods for the forecast of mollusk's spat productivity in sea-farms of Primorye and probable ways of their enhancement

Рис. 9. Блок-схема прогноЗирования сроков установки коллекторов и оЖидаемого количества спата [Белогрудов, 1980].

opencc-by-4.0Dec 2018View details →
zenodo40/100

Рис. 8. СвяЗь меЖду количеством личинок гребешка в планктоне раЗмером 250–275 мкм и количеством спата на коллекторах. Fig. 8. The relationship between the number of the Japanese scallop larvae in plankton with a size of 250 to 275 µm and the number of spat on collectors. in Review of methods for the forecast of mollusk's spat productivity in sea-farms of Primorye and probable ways of their enhancement

Рис. 8. СвяЗь меЖду количеством личинок гребешка в планктоне раЗмером 250–275 мкм и количеством спата на коллекторах. Fig. 8. The relationship between the number of the Japanese scallop larvae in plankton with a size of 250 to 275 µm and the number of spat on collectors.

opencc-by-4.0Dec 2018View details →
zenodo40/100

Рис. 7. Сумма температур перед нерестом приморского гребешка (а) и количество спата на коллекторах (б). Fig. 7. The sum of temperatures before spawning of the Japanese scallop (a) and the number of spat on collectors (б). in Review of methods for the forecast of mollusk's spat productivity in sea-farms of Primorye and probable ways of their enhancement

Рис. 7. Сумма температур перед нерестом приморского гребешка (а) и количество спата на коллекторах (б). Fig. 7. The sum of temperatures before spawning of the Japanese scallop (a) and the number of spat on collectors (б).

opencc-by-4.0Dec 2018View details →
zenodo40/100

Рис. 6. Сроки нереста приморского гребешка (1), роста и раЗвития его личи- нок в планктоне от начала нереста до раЗмеров 150 мкм (2) и от 150 мкм до 250–275 мкм (3). in Review of methods for the forecast of mollusk's spat productivity in sea-farms of Primorye and probable ways of their enhancement

Рис. 6. Сроки нереста приморского гребешка (1), роста и раЗвития его личи- нок в планктоне от начала нереста до раЗмеров 150 мкм (2) и от 150 мкм до 250–275 мкм (3).

opencc-by-4.0Dec 2018View details →
zenodo40/100

Рис. 1. Среднемесячная температура воды в б. Новгородская на поверхно- сти: 1 – За период 1931–1973 гг.; 2 – За 1977 г.; 3 – За 1978 г.; 4 – За 1979 г.; 5 – За 1980 г.; 6 – За 1981 г.; 7 – температура нереста (18ºС). in Review of methods for the forecast of mollusk's spat productivity in sea-farms of Primorye and probable ways of their enhancement

Рис. 1. Среднемесячная температура воды в б. Новгородская на поверхно- сти: 1 – За период 1931–1973 гг.; 2 – За 1977 г.; 3 – За 1978 г.; 4 – За 1979 г.; 5 – За 1980 г.; 6 – За 1981 г.; 7 – температура нереста (18ºС).

opencc-by-4.0Dec 2018View details →
zenodo40/100

Рис. 2. График вЗаимосвяЗи меЖду суммой средних месячных температур воды марта и апреля и датами начала нереста. in Review of methods for the forecast of mollusk's spat productivity in sea-farms of Primorye and probable ways of their enhancement

Рис. 2. График вЗаимосвяЗи меЖду суммой средних месячных температур воды марта и апреля и датами начала нереста.

opencc-by-4.0Dec 2018View details →
zenodo40/100

Figure 4 in Eggs for breakfast? Analysis of a probable mosasaur biting trace on the Cretaceous echinoid Echinocorys ovata Leske, 1778

Figure 4. Result of bite mark experiment: (a) Echinocorys clay dummy with superimposed shadow of a mosasaur upper jaw showing four biting traces artificially produced by the two anteriormost (premaxillary) tooth pairs of a mosasaur scale model. (b) Upper jaw of the mosasaur scale model superimposed over the Echinocorys ovata biting trace demonstrating conformity of tooth traces and globidensine mosasaur tooth arrangement. (c) Lateral view of the mosasaur scale model reconstructing the biting angle which produced the distinct biting trace. Note the prognathous arrangement of the premaxillary teeth and their different penetration angle and depth. The shaded area of the echinoid is not preserved in the original.

opencc-by-4.0Feb 2018View details →
zenodo40/100

Figure 2 in Eggs for breakfast? Analysis of a probable mosasaur biting trace on the Cretaceous echinoid Echinocorys ovata Leske, 1778

Figure 2. The original skull of Prognathodon solvayi, IRSNB R33, holotype, from the lower Maastrichtian of Mesvin, Belgium, which has been used as a template for the reconstruction of the resin scale model.

opencc-by-4.0Feb 2018View details →
zenodo40/100

Figure 1 in Eggs for breakfast? Analysis of a probable mosasaur biting trace on the Cretaceous echinoid Echinocorys ovata Leske, 1778

Figure 1. The large deposit-feeding echinoid Echinocorys ovata (MB.E. 6565) from the lower Maastrichtian (Late Cretaceous) of Hemmoor, exposing biting traces: (a) oral surface (posterior to the right) with four tooth punctures (P1–P4); the anterior part of the test is not preserved. (b) Enlarged oblique view showing the broad linear score emanating from P4. (c) Enlarged view showing details of puncture shape and regeneration features of P1 (left) and P2 (right). Note slightly irregular outline of P2 due to chipping. Note that the echinoid's periproct is of comparable size and shape and should not be confused with the punctures.

opencc-by-4.0Feb 2018View details →
zenodo40/100

Figure 3 in Eggs for breakfast? Analysis of a probable mosasaur biting trace on the Cretaceous echinoid Echinocorys ovata Leske, 1778

Figure 3. (a) Echinocorys ovata from the Maastrichtian of Hemmoor (BGR 389a/3) in oral view showing biting traces induced by a teleost fish or shark. (b) Detail of (a), showing set of tooth furrows and regenerated fracture. (c) Aboral aspect of living echinoid Spatangus purpureus from Hvar, Croatia (MB.E 11453) with a healed non-lethal fracture affecting large regions of interambulacrum 4.

opencc-by-4.0Feb 2018View details →
zenodo40/100

Figure 2 in Assessing grass carp (Ctenopharyngodon idella) occupancy and detection probability within Lake Erie from environmental DNA

Figure 2. Mean posterior estimates of the probability of capturing grass carp eDNA from a site in a sample among sites (θ) from the model with the lowest WAIC score [ψ(Site)Θ(Site)p(.)]. Error bars represent 95% credible intervals. DR = Detroit River, HP = Hot Ponds, MB = Maumee Bay. All sites are located in western Lake Erie.

opencc-by-4.0Feb 2024View details →
zenodo40/100

Figure 1 in Assessing grass carp (Ctenopharyngodon idella) occupancy and detection probability within Lake Erie from environmental DNA

Figure 1. Map denoting all monthly grass carp eDNA sampling events in 2018 (A–C) and 2019 (D–F) aggregated at each sampling location (Hot Ponds, Detroit River, and North Maumee Bay) and acoustic receiver locations (grey circles) in the western basin of Lake Erie. Positive and negative eDNA detections, defined as at least one positive qPCR detection on one replicate among all markers (GCTM10, GCTM22, GCTM32) are denoted by orange crosses and pink triangles, respectively. The 3 grass carp captured from conventional gear (total sampling events = 451) in the Detroit River (October 2018), Hot Pond (July 2019) and North Maumee Bay (July 2019) are denoted by a yellow hexagon.

opencc-by-4.0Feb 2024View details →
zenodo40/100

Probability distributed equivalent circuit model - Data

<h2>General information</h2> <p>Measurement data, parameter and analytical functions for the simulation of the results described in the publication "A physically motivated hysteresis model for lithium-ion batteries using a probability distributed equivalent circuit" published in Nature Communications Engineering in 2024 by Jahn et al.&nbsp;</p> <p>Matlab Code for the simulation can be found under:</p> <p><a href="https://www.doi.org/10.5281/zenodo.10852695">www.doi.org/10.5281/zenodo.10852695</a></p> <h2>File description</h2> <h3>_incrOCV.csv</h3> <p>Measurement: Full cycle with current interupts at specific states of charge.&nbsp;</p> <p>Data: nx2 vector [Q U] with <strong>Q</strong> being the currently stored amount of charge in the cell and <strong>U</strong> being the voltage measured&nbsp;</p> <h3>_pOCV.csv</h3> <p>Measurement: C/20 constant current full cycle starting at fully discharge state.</p> <p>Data: nx3 vector [t Q U] with <strong>t</strong> being the recorded time, <strong>Q</strong> the amount of charge stored in the cell, and <strong>U</strong> the measured terminal voltage.</p> <h3>HysPowerTest_ ... _SOC50.csv / HysPowerTest_ ... _SOC100.csv</h3> <p>Measurement:&nbsp;<br>SOC50 - starting at 0 % SOC with C/2 constant current charge to 50 % SOC followed by a 4C constant current discharge to the lower cut-off voltage.&nbsp;<br>SOC100 - starting at 100 % SOC with C/2 constant current discharge to 50 % SOC followed by a 4C constant current discharge to the lower cut-off voltage.&nbsp;</p> <p>Data: nx4 vector [t Q I U] with <strong>t</strong> being the recorded time, <strong>Q</strong> the amount of charge stored in the cell, <strong>I</strong> the current flowing, and <strong>U</strong> the measured terminal voltage.</p> <h3>Hysteresis_SOC50Loops_ ...&nbsp;</h3> <p>Measurement: Partial cycles with widening SOC window in 5 % steps in higher and lower SOC direction. The first hysteresis loop is measured from 45 % SOC to 55 % SOC while the final loop is measured from 0 % SOC to 100 % SOC.</p> <p>Data: 9x5 Matlab struct with each row being a partial cycle. Each column corresponds to [t SOC U I Q] of this partial cycle.&nbsp;<strong>t</strong> being the recorded time, <strong>SOC</strong> the amount of stored charge referenced to the previously determined cell capacity, <strong>Q</strong> the amount of charge stored in the cell, <strong>I</strong> the current flowing, and <strong>U</strong> the measured terminal voltage.</p> <p><strong>Parameter sets</strong></p> <p>Parameter sets for the Matlab code for the simulation of the probability distributed equivalent circuit model, available under Zenodo repository given in the Related Works section.</p> <p>param_ocpn_graphite.mat - OCP function parameter for the graphite anode half-cell<br>20230221_graphite_opt_parameter_man - optimized model parameter for the graphite half-cell<br>param_ocpn_lfp.mat - OCP function parameter for the LFP cathode half-cell<br>20230221_lfp_opt_parameter_man.mat - optimized model parameter for the LFP half-cell<br>A123_parameter_posPulse/A123_parameter_negPulse - parameter of the R-RC ECM extracted using positive or negative pulses respectively</p>

opencc-by-4.0Mar 2024View details →
zenodo40/100

Fig. 3. Microdrile oligochaete PIN 5640 in A probable oligochaete from an Early Triassic Lagerstätte of the southern Cis-Urals and its evolutionary implications

Fig. 3. Microdrile oligochaete PIN 5640/212 (A) from the Petropavlovka Formation, Olenekian (Lower Triassic), Petropavlovka III section, Russia and extant Tubifex tubifex (Müller, 1774) (B) from the Khripan' River, Moscow region, Russia, SEM. A. Anterior part with possible prostomium (arrowed) A1). Posterior part of specimen with W-shaped depression (arrowed) and possible genital region (A2). B. Anterior part showing prostomium (arrowed) and arrangement of chaetae (B1). Genital region depicting male pores (arrowed) (B2).

opencc-by-4.0Apr 2020View details →
zenodo40/100

Fig. 1. A in A probable oligochaete from an Early Triassic Lagerstätte of the southern Cis-Urals and its evolutionary implications

Fig. 1. A. Map showing the Lower Triassic locality Petropavlovka III (asterisk) on the Sakmara River valley bank near the village of Petropavlovka ca. 45 km north-east of the town of Orenburg, Russia, in the tectonic context (dashed lines, boundaries of tectonic regions; modified from Minikh and Minikh 1997). B. Combined stratigraphic log of Petropavlovka II–IV sections (modified from Tverdokhlebov 1967).

opencc-by-4.0Apr 2020View details →
zenodo40/100

Fig. 2. Microdrile oligochaete PIN 5640 in A probable oligochaete from an Early Triassic Lagerstätte of the southern Cis-Urals and its evolutionary implications

Fig. 2. Microdrile oligochaete PIN 5640/212 (A) from Petropavlovka Formation, Olenekian (Lower Triassic), Petropavlovka III section, Russia and extant Tubifex tubifex (Müller, 1774) (B) from Khripan' River, Moscow region, Russia. A. Photograph under polarised light (A1) and SEM image depicting main features of the specimen (А2): general outlines (continuous line), W-shaped depression (long dashed line), prominent annuli (dashed line), dissepiments (dotted line), and post-mortem fractures (dash-and-dot line). B. SEM image. Dissepiments (asterisks), segments are numbered, depression in posterior part of genital region (arrow).

opencc-by-4.0Apr 2020View details →
zenodo40/100

Figures represent five groups respectively. In group, when the dispersal rate is equal to 1% values of the probability of disperser survival are 1, 0.9, 0.8, 0.7, 0.6, 0.5 respectively as in groups and in The Influence Of Dispersal On The Metapopulation Viability Of Giant Panda (Aliuropoda Melanoleuca) In The Minshan Mountains

Figures represent five groups respectively. In group, when the dispersal rate is equal to 1% values of the probability of disperser survival are 1, 0.9, 0.8, 0.7, 0.6, 0.5 respectively as in groups and

opencc-by-4.0May 2007View details →
zenodo40/100

Fig. 2 3D in Probable Juvenile Frontal Of Daspletosaurus Horneri (Dinosauria: Theropoda) From The Two Medicine Formation Of Montana, With Implications For Tyrannosaurid Ontogeny

Fig. 2 3D model of UCM 55499, left frontal of a juvenile cf. Daspletosaurus horneri, in A, dorsal view; B, ventral view; C, rostral view; D, lateral view; E, medial view; F, caudal view. Abbreviations: cbf, cerebral fossa; ccr, crista cranii; cpos, caudal part of postorbital suture; cr, cylinder-like ridge; cs, caudal shelf; dtf, dorsotemporal fossa; dtr, dorsotemporal ridge; es, ethmoid scar; fh, forehead region; ifs, interfrontal suture; lac, lacrimal socket; lss, laterosphenoid suture; ms, joint surface for the mesethmoid; obf, olfactory bulb fossa; or, orbital wall; os, orbital slot; oss, orbitosphenoid suture; pb, postorbital buttress; prf, joint surface for prefrontal; ps, parietal suture; rpos, rostral part of postorbital suture; sc, sagittal crest. The model is courtesy of The Fossil Vertebrate Collection at the University of Colorado Boulder Museum of Natural History.

opencc-by-4.0Jul 2022View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

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

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.

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

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record