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.
2,679
datasets available to search
ShareScore release 0.9.0
Dataset results
2,679 results for “softness”
Fig. 5 in Population structure of the soft tick Ornithodoros maritimus and its associated infectious agents within a colony of its seabird host Larus michahellis
Fig. 5. Spatial autocorrelation in the total tick number of counted nests, measured as Moran's I, across three distance classes: a, 1st visit; b, 2nd visit; c, 3rd visit; d, 4th visit; e, 5th visit; f, 6th visit. Circles indicate the autocorrelation coefficients. The same results were obtained with female count numbers.
Fig. 2 in Population structure of the soft tick Ornithodoros maritimus and its associated infectious agents within a colony of its seabird host Larus michahellis
Fig. 2. Histogram presenting the mean number of ticks observed in all nests over time. Bars represent mean standard errors of the total number of ticks.
Fig. 3 in Population structure of the soft tick Ornithodoros maritimus and its associated infectious agents within a colony of its seabird host Larus michahellis
Fig. 3. Boxplot representations of tick numbers in counted and collected nests over time: a, females only; b, males only; c, nymphs. The box shows the median as a line across the middle and the quartiles (25th and 75th percentiles) at either end. Extremities represent the minimal and maximal values and circles represent outliers.
Fig. 1 in Population structure of the soft tick Ornithodoros maritimus and its associated infectious agents within a colony of its seabird host Larus michahellis
Fig. 1. Map showing the position of the 30 tracked nests on Carteau Island, in the Camargue region of France (represented by the red point on the bottom right map). Orange points represent the 15 nests in which ticks were counted and released. The green points are those nests where all ticks were counted and collected. Stars within the points represent the nests in which ticks were used for the screening of infectious agents. Boxes indicate the number of ticks screened and the detected infectious agents: Ana: Anaplasma spp.; Bab: Babesia spp.; Bar: Bartonella spp.; Bor: Borrelia spp.; Cox: Coxiella-like symbiont; Fra: Francisella-like symbiont; Ri: Rickettsia helvetica; Ri-like: Rickettsia-like symbiont. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)
Fig. 4 in Population structure of the soft tick Ornithodoros maritimus and its associated infectious agents within a colony of its seabird host Larus michahellis
Fig. 4. Spatial autocorrelation in total tick number estimated by Moran's I (Sokal and Oden, 1978). Data are from the first visit in the colony and include nests of both treatments. Ten distance classes representing 10 m between marked nests have been defined. No index value was significantly different from zero. The same results were obtained using female count data only (results not shown).
Gamification for Enhancing Soft Skills Development: a Systematic Mapping Study (supplementary material) - Temporary Repository
<p>This TEMPORARY repository contains supplementary material for the manuscript "Gamification for Enhancing Soft Skills Development: a Systematic Mapping Study":</p> <ul> <li>Gamification for Enhancing Soft Skills Development.CSV: Meta-data and raw data extracted from papers inlcuding in the mapping study</li> </ul>
RAGE pilot data from 1st evaluation of the Sports Team Manager game on soft skills for employability
<p><strong>General description: </strong>The dataset includes data from the first evaluation pilot which tested the Sports team manager game developed by PlayGen for the Okkam use case.</p> <p><strong>Topic</strong><br> ACM CSS 2012: Human Computer Interaction (HCI) design and evaluation methods<br> PsycINFO Classification: 3620 Personnel Management & Selection & Training; 2228 Occupational & Employment Testing</p> <p><strong>Name entitites</strong><br> Organizational information: OKKAM, in collaboration with University of Trento<br> Geographical information: Italy<br> Time information: May-June 2017</p> <p><strong>Types</strong>: Excel</p> <p><strong>RAGCS target group:</strong> end users: other user groups</p> <p><strong>Evaluation dimensions</strong><br> Evaluation object: Sports Team Manager game<br> Methodology/design: within subjects design<br> Evaluation variables: usability, user experience, learning</p> <p><strong>Instruments:</strong> 1. Questionnaire on Usability Game User Experience Satisfaction Scale (GUESS; Phan, Keebler, & Chaparro, 2016) – Usability subscale; 2. questionnaire on User Experience including 3 subscales: Enjoyment (GUESS -Enjoyment subscale); Usefulness (Intrinsic Motivation Questionnaire, IMI; Ryan, 1982) - Subscale Value/Usefulness; Flow (Flow Short Scale, FSS, Rheinberg et al., 2003; Vollmeyer & Rheinberg, 2006); 3. Pre-post questionnaire on learning; 4. Focus interview</p> <p><strong>Knowledge/skill elements</strong><br> RAGCS skills: cognitive skills: evaluating, analysing; affective skills: interpersonal skills<br> ESCO skills: social interaction (<a href="http://data.europa.eu/esco/skill/8f18f987-33e2-4228-9efb-65de25d03330">http://data.europa.eu/esco/skill/8f18f987-33e2-4228-9efb-65de25d03330)</a>; accept constructive criticism (<a href="http://data.europa.eu/esco/skill/a311ab20-75df-4aff-8016-3142c5659d30">http://data.europa.eu/esco/skill/a311ab20-75df-4aff-8016-3142c5659d30</a>); work in teams (<a href="http://data.europa.eu/esco/skill/60c78287-22eb-4103-9c8c-28deaa460da0">http://data.europa.eu/esco/skill/60c78287-22eb-4103-9c8c-28deaa460da0</a>); negotiate compromise <a href="http://data.europa.eu/esco/skill/7954861c-86d4-4529-afbb-2c23dab9ac74">(http://data.europa.eu/esco/skill/7954861c-86d4-4529-afbb-2c23dab9ac74)</a>; lead others (<a href="http://data.europa.eu/esco/skill/75d8e5d9-bef3-418b-9011-01bff9f27207">http://data.europa.eu/esco/skill/75d8e5d9-bef3-418b-9011-01bff9f27207</a>); motivate others <a href="http://data.europa.eu/esco/skill/e2d44a9b-f28c-489e-9861-b654b5ded507">(http://data.europa.eu/esco/skill/e2d44a9b-f28c-489e-9861-b654b5ded507</a>); support colleagues (<a href="http://data.europa.eu/esco/skill/95a41cf5-4037-4c96-91a8-c34b41637224">http://data.europa.eu/esco/skill/95a41cf5-4037-4c96-91a8-c34b41637224</a>); manage time <a href="http://data.europa.eu/esco/skill/d9013e0e-e937-43d5-ab71-0e917ee882b8">(http://data.europa.eu/esco/skill/d9013e0e-e937-43d5-ab71-0e917ee882b8</a>); make decisions (<a href="http://data.europa.eu/esco/skill/d62d2b4c-a6f8-439e-8a1b-4f29ab5f2c47">http://data.europa.eu/esco/skill/d62d2b4c-a6f8-439e-8a1b-4f29ab5f2c47</a>); develop strategies to solve problems (<a href="http://data.europa.eu/esco/skill/7a8fb784-67fa-41e9-a75c-6b491d91f800">http://data.europa.eu/esco/skill/7a8fb784-67fa-41e9-a75c-6b491d91f800</a>); evaluate information (<a href="http://data.europa.eu/esco/skill/7dd94ad3-13d6-43fe-8b94-51fcbf67ced9">http://data.europa.eu/esco/skill/7dd94ad3-13d6-43fe-8b94-51fcbf67ced9)</a><br> <br> <strong>Relationships</strong>: D8.3 First RAGE Evaluation Report<br> Related dataset: <a href="https://doi.org/10.5281/zenodo.2564742">10.5281/zenodo.2564742</a></p>
RAGE pilot data from 2nd evaluation of the Sports Team Manager game on soft skills for employability
<p><strong>General description: </strong>The dataset includes data from the second evaluation pilot which tested the Sports team manager game developed by PlayGen for the Okkam use case.</p> <p><strong>Topic</strong><br> ACM CSS 2012: Human Computer Interaction (HCI) design and evaluation methods<br> PsycINFO Classification: 3620 Personnel Management & Selection & Training; 2228 Occupational & Employment Testing</p> <p><strong>Name entitites</strong><br> Organizational information: OKKAM, in collaboration with University of Trento<br> Geographical information: Italy<br> Time information: December 2017- November 2018</p> <p><strong>Types</strong>: Excel</p> <p><strong>RAGCS target group:</strong> end users: other user groups</p> <p><strong>Evaluation dimensions</strong><br> Evaluation object: Sports Team Manager game<br> Methodology/design: within subjects design for learning<br> Evaluation variables: usability, user experience, learning</p> <p><strong>Instruments:</strong> 1. Questionnaire on Usability Game User Experience Satisfaction Scale (GUESS; Phan, Keebler, & Chaparro, 2016) – Usability subscale; 2. questionnaire on User Experience including 3 subscales: Enjoyment (GUESS -Enjoyment subscale); Usefulness (Intrinsic Motivation Questionnaire, IMI; Ryan, 1982) - Subscale Value/Usefulness; Flow (Flow Short Scale, FSS, Rheinberg et al., 2003; Vollmeyer & Rheinberg, 2006); 3. Pre-post questionnaire on learning; 4. Focus interview</p> <p><strong>Knowledge/skill elements</strong><br> RAGCS skills: cognitive skills: evaluating, analysing; affective skills: interpersonal skills<br> ESCO skills: social interaction: <a href="http://data.europa.eu/esco/skill/8f18f987-33e2-4228-9efb-65de25d03330">http://data.europa.eu/esco/skill/8f18f987-33e2-4228-9efb-65de25d03330</a>; accept constructive criticism: <a href="http://data.europa.eu/esco/skill/a311ab20-75df-4aff-8016-3142c5659d30">http://data.europa.eu/esco/skill/a311ab20-75df-4aff-8016-3142c5659d30</a>; work in teams: <a href="http://data.europa.eu/esco/skill/60c78287-22eb-4103-9c8c-28deaa460da0">http://data.europa.eu/esco/skill/60c78287-22eb-4103-9c8c-28deaa460da0</a>; negotiate compromise: <a href="http://data.europa.eu/esco/skill/7954861c-86d4-4529-afbb-2c23dab9ac74">http://data.europa.eu/esco/skill/7954861c-86d4-4529-afbb-2c23dab9ac74</a>; lead others: <a href="http://data.europa.eu/esco/skill/75d8e5d9-bef3-418b-9011-01bff9f27207">http://data.europa.eu/esco/skill/75d8e5d9-bef3-418b-9011-01bff9f27207</a>; motivate others: <a href="http://data.europa.eu/esco/skill/e2d44a9b-f28c-489e-9861-b654b5ded507">http://data.europa.eu/esco/skill/e2d44a9b-f28c-489e-9861-b654b5ded507</a>; support colleagues: <a href="http://data.europa.eu/esco/skill/95a41cf5-4037-4c96-91a8-c34b41637224">http://data.europa.eu/esco/skill/95a41cf5-4037-4c96-91a8-c34b41637224</a>; manage time: <a href="http://data.europa.eu/esco/skill/d9013e0e-e937-43d5-ab71-0e917ee882b8">http://data.europa.eu/esco/skill/d9013e0e-e937-43d5-ab71-0e917ee882b8</a>; make decisions: <a href="http://data.europa.eu/esco/skill/d62d2b4c-a6f8-439e-8a1b-4f29ab5f2c47">http://data.europa.eu/esco/skill/d62d2b4c-a6f8-439e-8a1b-4f29ab5f2c47</a>; develop strategies to solve problems: <a href="http://data.europa.eu/esco/skill/7a8fb784-67fa-41e9-a75c-6b491d91f800">http://data.europa.eu/esco/skill/7a8fb784-67fa-41e9-a75c-6b491d91f800</a>; evaluate information: <a href="http://data.europa.eu/esco/skill/7dd94ad3-13d6-43fe-8b94-51fcbf67ced9">http://data.europa.eu/esco/skill/7dd94ad3-13d6-43fe-8b94-51fcbf67ced9</a><br> <br> <strong>Relationships</strong>: D8.4 Second RAGE Evaluation Report<br> Related dataset: <a href="https://doi.org/10.5281/zenodo.1209206">10.5281/zenodo.1209206</a></p>
Memory influences haptic perception of softness
<p>The memory of an object’s property (e.g. its typical colour) can affect its visual perception. We investigated whether memoryof the softness of every-day objects influences their haptic perception. We produced bipartite silicone rubber stimuli: one half of the stimuli was covered with a layer of an object (sponge, wood, tennis ball, foam ball); the other half was uncovered silicone. Participants were not aware of the partition. They first used their bare finger to stroke laterally over the covering layer to recognize the well-known object and then indented the other half of the stimulus with a probe to compare its softness to that of an uncovered silicone stimulus. Across four experiments with different methods we showed that silicon stimuli covered with a layer of rather hard objects (tennis ball and wood) were perceived harder than the same silicon stimuli when being covered with a layer of rather soft objects (sponge and foam ball), indicating that haptic perception of softness is affected by memory.</p> <p> </p> <p>There are zip files for every experiment (1-4), which contain all data relative to the publication. Variables of all experiments are described in the file VARIABLE_CODES.txt.</p>
Figure 3 in Depth-related gradient of soft-bottom crustacean distribution along the Cilician shelf*
Figure 3. Spatiotemporal (depths and months) and annual (average) changes of crustacean faunistic parameters on the Cilician shelf for number of crustacean species (S), density (N), biomass, species richness (d), evenness (J'), and Shannon–Wiener diversity (H') indexes. Each point represents the value obtained from averaging values of each parameter across all replicates at each depth (n = 9).
Figure 5 in Depth-related gradient of soft-bottom crustacean distribution along the Cilician shelf*
Figure 5. CCA ordination of species (based on abundance data) with superimposed symbols representing bottom depth (see Figure 4), sedimentary parameters, and sea surface temperature of the sampling locations in February (F), May (M), August (A), and November (N). Symbol size is proportional to value of each variable, i.e. the largest symbol corresponds to the maximum value.
Figure 4 in Spatial and temporal variations of soft bottom polychaetes of Sinop Peninsula (southern Black Sea) with new records
Figure 4. Biplot of CCA performed on the total abundance of species and environmental variables recorded in the study area (DO: dissolved oxygen, OM: organic matter, TDS: total dissolved solids, WC: water content, Si: silicate, VFP: very fine pebbles, CS: coarse sand, MS: medium sand, FS: fine sand, VFS: very fine sand, VCS: very coarse silt).
Fig. 8 in An Early Triassic gladius associated with soft tissue remains from Idaho, USA-a squid-like coleoid cephalopod at the onset of Mesozoic Era
Fig. 8. Coleoid cephalopod Idahoteuthis parisiana Doguzhaeva and Brayard gen. et sp. nov. (holotype, UBGD 30545); middle Olenekian, Early Triassic; Idaho, USA. A. Canalicular cartilage of fin-supported structure. B–D. Cartilaginous mantle band-shape structure on dorsal side showing a canalicular type of cartilage.
Fig. 7 in An Early Triassic gladius associated with soft tissue remains from Idaho, USA-a squid-like coleoid cephalopod at the onset of Mesozoic Era
Fig. 7. Coleoid cephalopod Idahoteuthis parisiana Doguzhaeva and Brayard gen. et sp. nov. (holotype, UBGD 30545); middle Olenekian, Early Triassic; Idaho, USA; cartilaginous mantle band-shape structure on the dorsal side of soft body. Overview (A) and detail of analicular cartilage (B). Abbreviation: dcm, dorsal cartilaginous mantle.
Fig. 9 in An Early Triassic gladius associated with soft tissue remains from Idaho, USA-a squid-like coleoid cephalopod at the onset of Mesozoic Era
Fig. 9. Coleoid cephalopod Idahoteuthis parisiana Doguzhaeva and Brayard gen. et sp. nov. (holotype, UBGD 30545); middle Olenekian, Early Triassic; Idaho, USA; globular ultrastructure of non-biomineralized structures. A. Sheet-like patch of flooded ink (top) and soft tissue debris (bottom); a site of the geochemical analysis is marked with a square. B. Undetermined long soft tissue piece showing a micro-granular ultrastructure on the dorsal side of the soft body. C. Micro-laminated ultrastructure of the gladius. D. Undetermined non-biomineralized micro-laminated fragment from the stomach. E. A linear fragment of soft tissue on dorsal side of the body. F. Micro-globular ultrastructure. Abbreviations: i, ink sheet-like patch; sbt, soft body tissues; std, soft tissue debris.
Fig. 6 in An Early Triassic gladius associated with soft tissue remains from Idaho, USA-a squid-like coleoid cephalopod at the onset of Mesozoic Era
Fig. 6. Coleoid cephalopod Idahoteuthis parisiana Doguzhaeva and Brayard gen. et sp. nov. (holotype, UBGD 30545); middle Olenekian, Early Triassic; Idaho, USA; views on the canalicular structure of fin-supported cartilages (A–D).
Fig. 1. A in An Early Triassic gladius associated with soft tissue remains from Idaho, USA-a squid-like coleoid cephalopod at the onset of Mesozoic Era
Fig. 1. A. Palaeogeographic map of the western USA basin during the Early Triassic. B. Present-day location of the studied exposure. C. Synthetic stratigraphical and lithological succession of the Bear Lake area (after Romano et al. 2013) with position of the studied specimen. Ammonoid zonation after Jenks et al. (2013) and Jattiot et al. (2016). Stratigraphy follows the main units defined by Kummel (1954). Radiometric ages after Galfetti et al. (2007) and Burgess et al. (2014). Abbreviations: LL, Lower Limestone; LS,Lower Shale; ML, Middle Limestone; MS, Middle Shale; UCS, Upper Calcareous Siltstone.
Fig. 4 in An Early Triassic gladius associated with soft tissue remains from Idaho, USA-a squid-like coleoid cephalopod at the onset of Mesozoic Era
Fig. 4. Coleoid cephalopod Idahoteuthis parisiana Doguzhaeva and Brayard gen. et sp. nov. (holotype, UBGD 30545); middle Olenekian, Early Triassic; Idaho, USA; arm-hooks in the stomach. A. A well exposed arm-hook with deformed shaft and a broken distal end of the basement, tip not exposed; another arm-hook less visible and fractured. B. Three deformed arm-hooks. C. A deformed arm-hook showing a depression along the compressed shaft. Abbreviations: h, arm-hook; i, ink sheet-like patch.
Fig. 5 in An Early Triassic gladius associated with soft tissue remains from Idaho, USA-a squid-like coleoid cephalopod at the onset of Mesozoic Era
Fig. 5. Coleoid cephalopod Idahoteuthis parisiana Doguzhaeva and Brayard gen. et sp. nov. (holotype, UBGD 30545); middle Olenekian, Early Triassic; Idaho, USA; fin-supported cartilages. The surfaces of fractured cartilages (A–C), outer surface (D). Abbreviation: f, fin.
Fig. 3 in An Early Triassic gladius associated with soft tissue remains from Idaho, USA-a squid-like coleoid cephalopod at the onset of Mesozoic Era
Fig. 3. Coleoid cephalopod Idahoteuthis parisiana Doguzhaeva and Brayard gen. et sp. nov. (holotype, UBGD 30545); middle Olenekian, Early Triassic; Idaho, USA; a folded tapered anterior part of the gladius with a rachis, and narrow median and acute left and right lateral fields. Abbreviations: lf, left lateral field; mf, median field; rf, right lateral field; sbr, soft body remains.
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.