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.
1,855
datasets available to search
ShareScore release 0.9.0
Dataset results
1,855 results for “Autonomous”
FIGURES 7–13 in A New Aerophilic Neidium Pfister (Neidiaceae, Bacillariophyta) species from Guangxi Zhuang Autonomous Region, China
FIGURES 7–13. Neidium convolutum Liu & Kociolek sp. nov. SEM, external view. Fig. 7: Whole valve, showing the twisted part (white arrow); Fig. 8: Wedge-shaped apex, with lacinia covered the terminal raphe ends (white arrow); Fig. 9: Wedge-shaped apex of the same valve with lacinia original from mantle (white arrow); Fig. 10: Longitudinal canal with one or two rows of areolae (with arrow); Fig. 11: Magnification of the areolae opening, showing the volate occlusions. Fig. 12: Elliptical central area, with proximal raphe ends curved in opposite sides, some areolae positioned at the axial area next to the raphe (white arrow); Fig. 13: Uncompleted valve, with unoccluded areolae.
FIGURES 4–6 in A New Aerophilic Neidium Pfister (Neidiaceae, Bacillariophyta) species from Guangxi Zhuang Autonomous Region, China
FIGURES 4–6. Neidium convolutum Liu & Kociolek sp. nov. LM pictures. Valve views showing size dimension various. Scale bar = 10 µm.
FIGURES 1–3 in A New Aerophilic Neidium Pfister (Neidiaceae, Bacillariophyta) species from Guangxi Zhuang Autonomous Region, China
FIGURES 1–3. Neidium convolutum Liu & Kociolek sp. nov. LM pictures. Valve views showing size dimension various. Fig.2 is of the holotype. Scale bar = 10 µm.
FIGURES 19–23 in A New Aerophilic Neidium Pfister (Neidiaceae, Bacillariophyta) species from Guangxi Zhuang Autonomous Region, China
FIGURES 19–23. Neidium convolutum Liu & Kociolek sp. nov. SEM, internal view. Fig. 19: Whole valve; Fig. 20: Valve apex, helictoglossae on the valve face (white arrow); Fig. 21: Valve apex, raised helictoglossae (white arrow) and renilimbi along the axial area (black arrow); Fig. 22: Proximal raphe ends fused to an elongated structure, raised upon the valve (white arrow), renilimbi along the axial area (black arrow); Fig. 23: Magnification of internal opening of areolae with hymenes, the opening of areolae on the longitudinal canal are elongated (white arrow), renilimbi along the longitudinal canal (black arrow).
FIGURES 14–18 in A New Aerophilic Neidium Pfister (Neidiaceae, Bacillariophyta) species from Guangxi Zhuang Autonomous Region, China
FIGURES 14–18. Neidium convolutum Liu & Kociolek sp. nov. SEM, external view. Fig. 14: Girdle view of the whole frustule; showing the twist of the valve; Fig. 15: Unporiod girdle bands; Fig. 16: Girdle view of the apex, showing the original position of lacinia (white arrow); Fig. 17: Areolae in the axial area with volate occlusions (white arrow); Fig. 18: Areolae on the longitudinal canal with volate occlusions (white arrow).
Autonomous Vehicles_VSIM Simulator_Dataset
<p>The VSIM dataset is a specially designed collection of 5,000 images, created to enhance object detection in autonomous vehicle (AV) applications. Developed with the VSIM simulator in Unity, this dataset captures eight distinct categories across realistic driving scenarios, with a focus on representing varied environments and conditions for AVs. To ensure high-quality data, images were preprocessed and augmented using Roboflow. The dataset is divided into training, validation, and testing sets, with a unique setup for federated learning, where training data is split across three clients. Each client is configured to detect four key object classes—humans, cars, road signs, and bikes—supporting research in both centralized and federated contexts. The VSIM dataset fills a gap in AV data diversity, providing a valuable resource for advancing real-time object detection in distributed learning applications.</p> <p> </p>
Digital Twin-based Out-of-Distribution Detection in Autonomous Vessels
<p>This folder contains datasets, code, and analysis scripts for reproducing the results in the paper "Digital Twin-based Out-of-Distribution Detection in Autonomous Vessels". Specifically, it contains the following folders: </p> <ol> <li>Datasets <ol> <li>Dataset for each Vessel model in different maneuvers and conditions, i.e., waypoint, zigzag, ocean current (including IND and OOD).</li> <li>Configurations (Configurations used to train the DTM for each vessel in different maneuvers).</li> </ol> </li> <li>Results <ol> <li>Raw results for RQ1 and RQ2 for each vessel in different maneuvers, including the results from DTM-R and DTM-E.</li> <li>Results for RQ3 (statistical tests) derived from the above results. </li> </ol> </li> <li>Scripts and Code <ol> <li>Scripts used for statistical tests.</li> <li>DTC implementation (shown with one vessel as example).</li> <li>Code used for hyperparameter optimization.</li> <li>Inference class used for integration of DTM and DTC.</li> </ol> </li> </ol>
Data used in timing is everything: Dichogamy and pollen germinability underlie variation in autonomous selfing among populations
<p><i>Premise of the study:</i> The evolution of multiple floral traits often underlies the transition from outcrossing to selfing. Such traits can influence the ability to self, and the timing at which selfing occurs, which in turn affects the costs of selfing. Species that display variation in autonomous selfing provide an opportunity to dissect the phenotypic changes that contribute to variability in the mating system. </p> <p><i>Methods: </i>In a common garden, we measured dichogamy and herkogamy in 24 populations of the protandrous mixed-mating herb <i>Campanula americana,</i> and related these to autonomous fruit set (autonomy). We then measured the timing of self-pollen deposition and fruit production in populations with high and low autonomy, and determined whether pollen germinability across floral development contributes to variation in autonomy. </p> <p><i>Key Results:</i> Populations that transitioned more rapidly to female phase displayed elevated autonomous selfing, but herkogamy was unassociated with autonomous selfing. Selfing occurred more rapidly in highly-autonomous populations due to greater self-pollen deposition early in female phase. Pollen germinability in low-autonomy populations remained constant across floral development, but in high-autonomy populations it increased after floral anthesis and was highest near the onset of female phase. </p> <p><i>Conclusions</i>:<i> </i>Reduced dichogamy, elevated self-pollen deposition, and higher pollen germination late in male phase contribute to both earlier selfing and greater selfing. These traits vary among populations, likely reflecting past selection on the mating system. While delayed selfing bears fewer fitness costs, the evolution of earlier selfing may be favored if self-pollen availability decreases over floral development.</p>
FIGURES 27–28 in New records of solitary vespid wasps (Hymenoptera: Vespidae: Masarinae and Eumeninae s. l.) from the Nakhchivan Autonomous Republic of Azerbaijan
FIGURES 27–28. Pseudepipona herrichii (de Saussure, 1856) from the Nakhchivan Autonomous Republic of Azerbaijan, ♂. 27, habitus in lateral view. 28, head in frontal view.
FIGURES 8–10. Odynerus varentzowi Morawitz, 1895 in New records of solitary vespid wasps (Hymenoptera: Vespidae: Masarinae and Eumeninae s. l.) from the Nakhchivan Autonomous Republic of Azerbaijan
FIGURES 8–10. Odynerus varentzowi Morawitz, 1895, ♀, holotype. 8, habitus in lateral view. 9, head in frontal view. 10, labels.
FIGURES 1–7 in New records of solitary vespid wasps (Hymenoptera: Vespidae: Masarinae and Eumeninae s. l.) from the Nakhchivan Autonomous Republic of Azerbaijan
FIGURES 1–7. Antepipona specifica (Morawitz, 1895) (1–2) and A. varentzowi (Morawitz, 1895) (3–7) from the Nakhchivan Autonomous Republic of Azerbaijan. 1, 3, 5, habitus in lateral view (1, 3, ♀; 5, ♂). 2, 4, 6, head in frontal view (2, 4, ♀; 6, ♂). 7, apex of antenna (♂).
FIGURES 21–26 in New records of solitary vespid wasps (Hymenoptera: Vespidae: Masarinae and Eumeninae s. l.) from the Nakhchivan Autonomous Republic of Azerbaijan
FIGURES 21–26. Males of Brachyodynerus kusdasi Gusenleitner, 1967 (21–23) and Brachypipona orientalis Gusenleitner, 2004 (24–26) from the Nakhchivan Autonomous Republic of Azerbaijan. 21, 25, habitus in dorsal view. 22, 26, habitus in lateral view. 23–24, head in frontal view.
FIGURES 11–20 in New records of solitary vespid wasps (Hymenoptera: Vespidae: Masarinae and Eumeninae s. l.) from the Nakhchivan Autonomous Republic of Azerbaijan
FIGURES 11–20. Syntypes of Odynerus specificus Morawitz, 1895 (11–15) and O. curialis Morawitz, 1895 (16–20). 11, 13, 16, 18, habitus in lateral view (11, 16, ♀; 13, 18, ♂). 12, 14, 17, 19, head in frontal view (12, 17, ♀; 14, 19, ♂). 15, 20, apex of antenna (♂).
Matrix aggregation of species of Phyla Annelida (Polychaeta), Mollusca, Arthropoda (Decapoda, Stomatopoda, Amphipoda, and Chelicerata), and Echinodermata registered of the Caribbean Sea and Gulf of Mexico region by Ocean Biodiversity Information Systems of the research "Evaluation of the use of Autonomous Reef Monitoring Structures (ARMS) for capturing the biological diversity of two coral reefs in the Yucatán Península, México"
<p>This database consists of an aggregation matrix of species from Ocean Biodiversity Information Systems using as geographic filters the Caribbean Sea region (ID 34287) and the Gulf of Mexico region (ID 34287) nomenclature and hierarchical classification of each Phyla from World Register of Marine Species used for the calculation of average taxonomic distinction of species belonging to the Phyla Annelida (Polychaeta), Mollusca, Arthropoda (Decapoda, Stomatopoda, Amphipoda, and Chelicerata), and Echinodermata associated to Autonomous Reefs Monitoring Structures from the research “Evaluation of the use of Autonomous Reef Monitoring Structures (ARMS) to estimate cryptic diversity in two coral reefs of the Yucatan Península, México”</p> <p><strong>*Corresponding autor: </strong>edlinguerra@gmail.com</p> <p>BIS Ocean Biodiversity Information System. Available online: <a href="http://www.iobis.org/">www.iobis.org</a>.</p> <p>Horton, T.; Gofas, S.; Kroh, A.; Poore, G.C.B.; Read, G.; Rosenberg, G.; Stöhr, S.; Bailly, N.; Boury-Esnault, N.; Brandão, S.N.; et al. Improving nomenclatural consistency: A decade of experience in the World Register of Marine Species. <em>Eur. J. Taxon.</em> <strong>2017</strong>, <em>2017</em>, doi:10.5852/ejt.2017.389.</p> <p><span lang="EN-US">was produced in collaboration with the Biodiversidad Marina de Yucatán project. </span><a href="https://www.bdmy.org.mx/carteles-publicaciones/" target="_blank" rel="noopener">https://www.bdmy.org.mx/,</a> Universidad Nacional Autonoma de México and Escuela Nacional de Estudios Superiores</p>
Database of Incidence per reef and región of the research "Evaluation of the use of Autonomous Reef Monitoring Structures (ARMS) for capturing the biological diversity of two coral reefs in the Yucatán Península, México"
<p><strong>*Corresponding autor: </strong>edlinguerra@gmail.com</p> <p>This database contains information of specimens of the cryptofauna assemblages identified by experts of each Phyla per reef and región and is a complementary material of the research “Evaluation of the use of Autonomous Reef Monitoring Structures (ARMS) to estimate cryptic diversity in two coral reefs of the Yucatan Península, México”. For the present research, animals of the appropriate species and quality were selected and the minimum number required to obtain scientifically valid results were considered, all animals were anesthetized and deposited in National Collections: Colección Regional de Crustáceos de la Península de Yucatán (SEMARNAT number: YUC-CC-255-11), Colección Regional de Moluscos de la Península de Yucatán (SEMARNAT number: YUC. -INV-240-01-11), Colección Regional de Equinodermos de la Península de Yucatán (SEMARNAT number: DGVS-CC-307-18), Colección Regional de Ascidias de la Península de Yucatán (SEMARNAT number: DGVS-CC-306-18), Colección Regional de Briozoos de la Península de Yucatán (SEMARNAT number: DGVS-CC-308-18), Colección Regional de Cnidarios de la Península de Yucatán (SEMARMAT number: YUC-CC-254-11), Colección Regional de Policládidos de la Península de Yucatán (105 Collection CONABIO) and Colección Nacional del Phyla Porifera “Gerardo Green” of Universidad Nacional Autónoma de México, Facultad de Ciencias, Sisal, Mexico (UMDI-Sisal) and within accordance with scientific collection permits: PPF/DGOPA: 295/17, 300/17, 294/17, 293/17, PPF/DGOPA-076/19 issued by Mexico’s State Secretaria de Agricultura, Ganaderia, Desarrollo Rural, Pesca y Alimentación (SAGARPA).</p> <p><strong>CC-BY-NC-N</strong></p>
An ocean turbulence data reduction scheme for autonomous, vertically profiling floats: datasets
<p>See <a href="https://doi.org/10.5281/zenodo.5719505">https://doi.org/10.5281/zenodo.5719505</a> instead</p>
PAsCAL WP6 Pilot 3 Autonomous Bus Line with Co-Road Users Video
<p>A summary video documenting and introducing the activities of pilot 3 of the PAsCAL real-world pilots. This pilot took place on the campus of the UAM University in Madrid, Spain. The autonomous shuttle is fully automated and has a steward on-board only for the case of incidences or passenger support but this person does not intervene with the usual function of the bus. It is important to highlight that the bus is one of the only busses operating in open traffic in Europe to date. Therefore, an important part of the pilot consisted also in involving road co-users to capture their acceptance of the vehicle.</p>
FIGURE 2 in First pselaphine beetles from Xinjiang Uygur Autonomous Region, China (Coleoptera: Staphylinidae: Pselaphinae)
FIGURE 2. Habitus and morphological details of Trissemus melinus, male. A. Dorsal habitus. B. Head and pronotum. C. Antennomeres 4–9. D. Mesotibia. E, F. Aedeagus, ventral. Abbreviations: en, endophallus; pa, paramere; sIX, sternite IX. Scale bars: 0.5 mm in A; 0.2 mm in B–D; 0.1 mm in E, F.
Raw EK80 echosounder data of zooplankton collected by wideband autonomous transceiver in mesocosm AZKABAN 2022-01-17
<p>Broadband active acoustic measurements using an echosounder (185 to 255 kHz) of a mix of zooplankton collected in Kongsfjorden in a mesocosm (2m x 2m x 3m). The experiment was completed from the wharf in Ny-Ålesund. The fileset includes calibrations of the transducer (ES200-7CDK-split; Kongsberg Maritime AS) with the wideband Autonomous Transceiver (Kongsberg Maritime AS) from January 19th, 2022.</p>
Sunlight-powered self-excited oscillators for sustainable autonomous soft robotics
<p>As soft robotics fast advances, full autonomy becomes highly sought, especially if their motion can be powered by environmental energy and self-regulated. This would present a self-sustained fashion in terms of both energy supply and motion control. Currently, autonomous movement can be realized by leveraging out-of-equilibrium oscillatory motion of stimuli-responsive polymers under a constant light source. It would be more advantageous if environmental energy can be scavenged to power robots. However, generating oscillation becomes challenging under the limited power density of available environmental energy sources. Herein, we develop fully autonomous soft robots with self-sustainability based on self-oscillation. Aided by multiphysics modeling, we have successfully reduced the required input power density to around one-Sun level through a liquid crystal elastomer (LCE)-based bilayer structure. The autonomous motion of the low-intensity LCE/elastomer bilayer oscillator “LiLBot” under low energy supply was achieved by high photothermal conversion, low modulus, and high material responsiveness simultaneously. The LiLBot features tunable peak-to-peak amplitudes from 4 degrees to 72 degrees and frequencies from 0.3 Hertz to 11 Hertz. The oscillation approach offers a general strategy for desgining autonomous, untethered and sustainable small-scale soft robots, such as sailboat, walker, roller, and synchronized flapping wings.</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.