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.
102
datasets available to search
ShareScore release 0.9.0
Dataset results
102 results for “hopping”
Supplementary Dataset for: Enhancement of superexchange due to synergetic breathing and hopping in corner-sharing cuprates
<p>The following data are included in the dataset:</p> <ul> <li>Cluster geometries</li> <li>Point charge embedding files</li> <li>Inputs and output files</li> <li>Orbital files for calculations with large active spaces</li> <li>Data for density difference plots</li> </ul> <p>It is fast to see the contents of the archive with help of <a href="https://github.com/vasi/pixz">pixz</a>:</p> <pre><code class="language-bash">pixz -l data.tar.xz</code></pre> <p>Then the files of interest can be easiliy extracted:</p> <pre><code class="language-bash">pixz -x dir/file < data.tar.xz | tar x </code></pre>
Supporting data for "Nuclear quantum effects on zeolite proton hopping kinetics explored with machine learning potentials and path integral molecular dynamics"
<p>Supporting data for "<a href="https://www.nature.com/articles/s41467-023-36666-y">Nuclear quantum effects on zeolite proton hopping kinetics explored with machine learning potentials and path integral molecular dynamics</a>" by M. Bocus, R. Goeminne, A. Lamaire, M. Cools-Ceuppens, T. Verstraelen and V. Van Speybroeck, <em>Nature Communications</em>, <strong>2023</strong>, 14, 1008.</p> <p>This dataset contains examples of input files, submission and analysis scripts to train and use a machine learning potential based on the Schnet architecture for the proton hopping reaction in the H-CHA zeolite. The complete DFT training set, obtained by unbiasing the forces printed by CP2K (with PLUMED coupling), is stored as extended xyz files in the folders DFT/A-B/training_data.xyz where A=1-3 and A<B<5. More details on the folder architecture can be found in the README.md file.</p>
Single-limb hopping data in uninjured adolescents
<p>Cross-over design study dataset of male and female adolescents performing single-limb hopping tasks in both a laboratory and gymnasium setting, where the gymnasium setting occurred during a regular scheduled gym class.</p>
HOP-2A - Intratesticular Hormone Levels
ClinicalTrials.gov study NCT00756561. IPD Sharing: Not stated. Countries: 1. Publications: 8.
HOPS Study: A Conceptual Replication
ClinicalTrials.gov study NCT04465708. IPD Sharing: NO. Countries: 1. Publications: 6.
HOP-3 Manipulation of the Intratesticular Hormonal Milieu With Exogenous Testosterone
ClinicalTrials.gov study NCT00839319. IPD Sharing: Not stated. Countries: 1. Publications: 11.
Data from: Regulation of vacuole fusion in stomata by dephosphorylation of the HOPS subunit VPS39
Open the record for dataset details and reuse information.
Data from: Comparison between the kinematics for kangaroo rat hopping on a solid versus sand surface
Open the record for dataset details and reuse information.
Augmentation and conservation biological control of Tetranychus urticae on hops in Ohio
Open the record for dataset details and reuse information.
Echo-CGC: A Communication-Efficient Byzantine-tolerant Distributed Machine Learning Algorithm in Single-Hop Radio Network (video)
Full video presentation of the paper: Echo-CGC: A Communication-Efficient Byzantine-tolerant Distributed Machine Learning Algorithm in Single-Hop Radio Network.<br><br>Appears in Session 2 of the 24th International Conference on Principles of Distributed Systems OPODIS 2020<br><a href="https://opodis2020.unistra.fr">https://opodis2020.unistra.fr</a>
Hopping on: Conspecific traveller density within a vehicle regulates parasitic hitchhiking between ephemeral microcosms
<p>Hitchhikers (phoretic organisms) identify their vehicles using species-specific visual, chemical and vibrational cues. However, what factors influence their choice between vehicles of the same species has rarely been investigated.</p> <p>Hitchhikers must not only avoid overcrowded vehicles but may also need to travel with conspecifics to ensure mates at their destination. Hence, a trade-off between overcrowding and presence of conspecifics likely determines choice of a vehicle especially when destination sites are distant, ephemeral and unique.</p> <p>Here, we investigate whether a trade-off between the presence of conspecifics vs overcrowding by conspecifics or heterospecifics on a vehicle affects hitchhiker choice. We also investigate the sensory modality responsible for this choice. We experimentally examine these questions using a phoretic nematode community (containing plant- and animal-parasitic taxa) obligately associated with a brood-site pollination mutualism. In this model system nematodes co-travel with conspecifics and heterospecifics on pollinators as vehicles, between ephemeral plant brood-sites to complete their developmental life cycle. In this system, hitchhiker overcrowding has proven negative impacts on vehicle and plant fitness. We expected nematodes to respond to conspecifics and heterospecific density on offered vehicles when making their choice.</p> <p>We found that animal-parasitic nematodes preferred vehicles containing some conspecifics within a certain density range. However, plant-parasitic nematodes preferentially boarded vehicles that were devoid of conspecifics or had few conspecifics. Plant parasites that preferred empty vehicles likely hitchhiked in pairs. Both nematode types employed volatile cues to discriminate between vehicles with different conspecific nematode densities. Our results suggest that vehicle overcrowding by conspecifics, most likely, guaranteed access to mates at the destination determined hitchhiker choice. Surprisingly, and contrary to our expectations, plant- and animal-parasitic nematodes did not respond to heterospecific crowding on vehicles and did not discriminate between vehicles with different heterospecific nematode densities. The reason for this lack of response to heterospecific presence is unknown.</p> <p>This study not only shows that phoretic organisms use different strategies while choosing a vehicle but also confirms that density-dependent effects can ensure the stability and persistence of phoretic interactions in a mutualism by balancing overcrowding against reproductive assurance.</p>
Tapping to hip-hop: Effects of cognitive load, arousal, and musical meter on time experiences
<p>(Abstract) Experiences of time vary intra- and interindividually, depending on factors such as attentional resource allocation and arousal. Music as a temporal art that is structured by multiple temporal layers is ideal for investigating human time experiences. The current study used examples of hip-hop music that varied in arousal but were constant in tempo. Participants judged the passage of time to be quicker when cognitive load was high in a dual-task condition, and perceived duration to be shorter when performing a concurrent motor task (tapping along with the music). Perceived musical arousal did not affect subjective time. Attending to a higher metrical level by tapping with half notes resulted in shorter duration estimates and a quicker passage of time, compared to tapping with eighth notes of the same music. Results were not influenced by spontaneous motor tempo, musical expertise, preference or familiarity with the music. Taken together, these findings indicate consistent effects of cognitive load and attention to meter on time experiences.</p>
Data from: Conquering the world in leaps and bounds: hopping locomotion in toads is actually bounding
1.While most frogs maximize jump distance as an escape behavior, toads have traded jump distance for endurance with a strategy of hopping repeatedly. This strategy has enabled toads to expand across the continents as one of the most diverse groups of anurans. Multiple studies have revealed physiological endurance adaptations for sustained hopping in toads, however, the kinematics of their sequential hopping behavior, per se, has not been studied. 2.We compared kinematics and forces of single hops and multiple hopping sequences and quantified field performance of hopping behaviors in free ranging toads of three species and discovered a novel aspect of locomotion adaptation that adds another facet to their exceptional terrestrial locomotor abilities. 3.We found that bouts of repeated hopping are actually a series of bounding strides where toads rotate on their hands and then land on their extended their feet and jump again without stopping. In addition, free-ranging toads appear to use bounding locomotion more frequently than single hops. Bounding in toads has the advantage of maintaining velocity and producing longer jump distances. In comparison to single hops, cyclic bounding steps reduce energy expenditure and appear to provide limb loading dynamics better suited for potential cycling of elastic energy from stride to stride than would be possible with repeated single hops. 4.This is the first case of the common use of a bounding gait outside of mammals. Bounding adds a key terrestrial locomotor trait to the toad's phenotype that may help explain their history of global expansion and the challenges to modern faunas as introduced toads rapidly invade new ecosystems today.
950 Hop Louie
950 Hop Louie Restaurant, Chinatown LA Source: Objaverse 1.0 / Sketchfab
CoNEXT21: Mind the Gap: Multi-hop IPv6 over BLE in the IoT - Experiment Result Data
<p>This dataset contains the all raw experiment data that was used in our paper "Mind the Gap: Multi-hop IPv6 over BLE in the IoT" published at CoNEXT21.</p>
Distribution. Now restricted to the Channel Country of SW Queensland and the Lake Eyre Basin in NE South Australia. Descriptive notes. Head-body 95-120 mm, tail 105-160 mm, ear 23-29 mm, hindfoot 32-37 mm; weight 30-50 g. The Fawn Hopping Mouse has body form typical of hopping mice, with very long hindfeet, long tail with distal brush of longer hairs, very long ears, and large protruberant eyes. Dorsal fur is of variable color, from pale pinkish fawn to gray; ventral fur white. Unlike most other hopping mice, it has no throat pouch, but males have a glandular area of naked skin on the chest. Habitat. Occurs in low shrublands and tussock grasslands on stony ("gibber") plains and claypans. Shows marked habitat segregation from the Dusky Hopping Mouse (N. fuscus), which is closely associated with sandy substrates. Food and Feeding. The Fawn Hopping Mouse is mostly granivorous, but also eats other plant material (stems, leaves) and occasionally invertebrates. It uses succulent, salt-adapted plants around edges of claypans as a source of water. Breeding. Reproduction is probably largely opportunistic and aseasonal, with high reproductive output from near-continuous breeding after periods of high rainfall; reported littersize is 1-5, most commonly three; gestation period 38-43 days for nonlactating females. Females may mature later than other hopping mice, with reproductive maturity reached at about six months. Activity patterns. Terrestrial and nocturnal. Fawn Hopping Mice shelter during day in burrow systems that are typically simpler and shallower than those of other hopping mice. Movements, Home range and Social organization. Fawn Hopping Mice generally live singly or in small groups; typically uncommon within range, but population density may increase by an order of magnitude following periods of high rainfall. Status and Conservation. Classified as Near Threatened on The IUCN Red List. The Fawn Hopping Mouse has shown marked decline in range (estimated at greater than 50%), and presumably population size, since European settlement of Australia. This is mostlikely due to predation by the introduced house cat and Red Fox (Vulpes vulpes), and to habitat degradation associated with pastoralism. Bibliography. Brazenor (1934), Burbidge et al. (2008), Finlayson (1939), Gould (1853), Jackson & Groves (2015), Murray et al. (1999), Ogilby (1892), Thomas (1921h), Van Dyck & Strahan (2008), Waite (1898), Watts & Aslin (1981), Woinarski et al. (2014), Wood Jones (1925). in Muridae
Distribution. Now restricted to the Channel Country of SW Queensland and the Lake Eyre Basin in NE South Australia. Descriptive notes. Head-body 95-120 mm, tail 105-160 mm, ear 23-29 mm, hindfoot 32-37 mm; weight 30-50 g. The Fawn Hopping Mouse has body form typical of hopping mice, with very long hindfeet, long tail with distal brush of longer hairs, very long ears, and large protruberant eyes. Dorsal fur is of variable color, from pale pinkish fawn to gray; ventral fur white. Unlike most other hopping mice, it has no throat pouch, but males have a glandular area of naked skin on the chest. Habitat. Occurs in low shrublands and tussock grasslands on stony ("gibber") plains and claypans. Shows marked habitat segregation from the Dusky Hopping Mouse (N. fuscus), which is closely associated with sandy substrates. Food and Feeding. The Fawn Hopping Mouse is mostly granivorous, but also eats other plant material (stems, leaves) and occasionally invertebrates. It uses succulent, salt-adapted plants around edges of claypans as a source of water. Breeding. Reproduction is probably largely opportunistic and aseasonal, with high reproductive output from near-continuous breeding after periods of high rainfall; reported littersize is 1-5, most commonly three; gestation period 38-43 days for nonlactating females. Females may mature later than other hopping mice, with reproductive maturity reached at about six months. Activity patterns. Terrestrial and nocturnal. Fawn Hopping Mice shelter during day in burrow systems that are typically simpler and shallower than those of other hopping mice. Movements, Home range and Social organization. Fawn Hopping Mice generally live singly or in small groups; typically uncommon within range, but population density may increase by an order of magnitude following periods of high rainfall. Status and Conservation. Classified as Near Threatened on The IUCN Red List. The Fawn Hopping Mouse has shown marked decline in range (estimated at greater than 50%), and presumably population size, since European settlement of Australia. This is mostlikely due to predation by the introduced house cat and Red Fox (Vulpes vulpes), and to habitat degradation associated with pastoralism. Bibliography. Brazenor (1934), Burbidge et al. (2008), Finlayson (1939), Gould (1853), Jackson & Groves (2015), Murray et al. (1999), Ogilby (1892), Thomas (1921h), Van Dyck & Strahan (2008), Waite (1898), Watts & Aslin (1981), Woinarski et al. (2014), Wood Jones (1925).
On following pages: 318. New Britain Island Giant Rat (Uromys neobritannicus); 319. Great Key Island Giant Rat (Uromys siebersi); 320. Vangunu Giant Rat (Uromys vika); 321. Emperor Giant Rat (Uromys imperaton; 322. Guadalcanal Giant Rat (Uromys porculus); 323. King Giant Rat (Uromys rex); 324. White-tailed Giant Rat (Uromys caudimaculatus); 325. Masked White-tailed Giant Rat (Uromys hadrourus); 326. Rock-dwelling Giant Rat (Xenuromys barbatus); 327. Poncelet's Giant Rat (Solomys ponceleti); 328. Ugi Island Giant Rat (Solomys salamonis); 329. Bougainville Island Giant Rat (Solomys salebrosus); 330. Isabel Island Giant Rat (Solomys sapientis), 331. Brush-tailed Rabbit Rat (Conilurus penicillatus); 332. False Water Rat (Xeromys myoides); 333. Central Short-tailed Mouse (Leggadina forrest); 334. Northern Short-tailed Mouse (Leggadina lakedownensis); 335. Greater Stick-nest Rat (Leporillus conditor); 336. Australian Broad-toothed Rat (Mastacomys fuscus); 337. Black-footed Tree Rat (Mesembriomys gouldii); 338. Golden-backed Tree Rat (Mesembriomys macrurus); 339. Spinifex Hopping Mouse (Notomys alexis); 340. Northern Hopping Mouse (Notomys aquilo); 341. Fawn Hopping Mouse (Notomys cervinus); 342. Dusky Hopping Mouse (Notomys fuscus); 343. Mitchell's Hopping Mouse (Notomys mitchellii). in Muridae
On following pages: 318. New Britain Island Giant Rat (Uromys neobritannicus); 319. Great Key Island Giant Rat (Uromys siebersi); 320. Vangunu Giant Rat (Uromys vika); 321. Emperor Giant Rat (Uromys imperaton; 322. Guadalcanal Giant Rat (Uromys porculus); 323. King Giant Rat (Uromys rex); 324. White-tailed Giant Rat (Uromys caudimaculatus); 325. Masked White-tailed Giant Rat (Uromys hadrourus); 326. Rock-dwelling Giant Rat (Xenuromys barbatus); 327. Poncelet's Giant Rat (Solomys ponceleti); 328. Ugi Island Giant Rat (Solomys salamonis); 329. Bougainville Island Giant Rat (Solomys salebrosus); 330. Isabel Island Giant Rat (Solomys sapientis), 331. Brush-tailed Rabbit Rat (Conilurus penicillatus); 332. False Water Rat (Xeromys myoides); 333. Central Short-tailed Mouse (Leggadina forrest); 334. Northern Short-tailed Mouse (Leggadina lakedownensis); 335. Greater Stick-nest Rat (Leporillus conditor); 336. Australian Broad-toothed Rat (Mastacomys fuscus); 337. Black-footed Tree Rat (Mesembriomys gouldii); 338. Golden-backed Tree Rat (Mesembriomys macrurus); 339. Spinifex Hopping Mouse (Notomys alexis); 340. Northern Hopping Mouse (Notomys aquilo); 341. Fawn Hopping Mouse (Notomys cervinus); 342. Dusky Hopping Mouse (Notomys fuscus); 343. Mitchell's Hopping Mouse (Notomys mitchellii).
Data and supplementary information for "A multiple time step algorithm for trajectory surface hopping simulations"
<p>This repository contains the supplementary information as well as the data necessary to reproduce the content of the article "A multiple time step algorithm for trajectory surface hopping simulations".</p>
Annotated data for testing the High throughput Oligogenic Prioritizer (HOP)
<p>This repository contains the annotated OLIDA and 1KGP patients data that is necessary to reproduce the results of the HOP predictor presented in the article "Prioritization of oligogenic variant combinations in whole exomes". <br> <br> The archive contains 102 files divided in two folders: </p> <ul> <li>olida_annotated_data contains 2 json files with the training set combinations and the testing set combinations respectively, annotated with the required features for predictions.</li> <li>patients_annotated_data contains 100 files, one for each 1KGP individual that was used to test the predictor, each annotated with the required features for predictions. </li> </ul> <p>These datasets are meant to be used with the corresponding scripts provided on github: https://github.com/oligogenic/HOP</p>
Fig. 6 in Multivariate analysis of chemical and genetic diversity of wild Humulus lupulus L. (hop) collected in situ in northern France
Fig. 6. Heatmap highlighting variation of volatile compounds across the 63 hop accessions from Northern France. This heatmap has been generated with normalized data for the top 51 molecules responsible for differences between the chemical profiles. Red and green colors indicate lowest and highest performance of the traits, respectively. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
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.