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.
6,782
datasets available to search
ShareScore release 0.9.0
Dataset results
6,782 results for “project”
Prefrontal deep projection neurons enable cognitive flexibility via persistent feedback monitoring
<p>Attentional set-shifting is a cognitive task that requires a subject to flexibly shift attention between different sensory features of a stimulus, based on continuous trial-and-error. This data set comprises in-vivo 2-photon video recordings of fluorescent calcium signals made in the prefrontal (prelimbic + infralimbic) cortex of mice performing a serial extradimensional set-shifting task. </p> <p> </p> <p> </p>
Data from: Hypothesis-driven and field-validated method to prioritize fragmentation mitigation efforts in road projects
The active field of connectivity conservation has provided numerous methods to identify wildlife corridors with the aim of reducing the ecological effect of fragmentation. Nevertheless, these methods often rely on untested hypotheses of animal movements, usually fail to generate fine-scale predictions of road crossing sites, and do not allow managers to prioritize crossing sites for implementing road fragmentation mitigation measures. We propose a new method that addresses these limitations. We illustrate this method with data from southwestern Gabon (central Africa). We used stratified random transect surveys conducted in two seasons to model the distribution of African forest elephant (Loxodonta cyclotis), forest buffalo (Syncerus caffer nanus), and sitatunga (Tragelaphus spekii) in a mosaic landscape along a 38.5 km unpaved road scheduled for paving. Using a validation data set of recorded crossing locations, we evaluated the performance of three types of models (local suitability, local least-cost movement, and regional least-cost movement) in predicting actual road crossings for each species, and developed a unique and flexible scoring method for prioritizing road sections for the implementation of road fragmentation mitigation measures. With a data set collected in <10 weeks of fieldwork, the method was able to identify seasonal changes in animal movements for buffalo and sitatunga that shift from a local exploitation of the site in the wet season to movements through the study site in the dry season, whereas elephants use the entire study area in both seasons. These three species highlighted the need to use species- and season-specific modeling of movement. From these movement models, the method ranked road sections for their suitability for implementing fragmentation mitigation efforts, allowing managers to adjust priority thresholds based on budgets and management goals. The method relies on data that can be obtained in a period compatible with environmental impact assessment constraints, and is flexible enough to incorporate other potential movement models and scoring criteria. This approach improves upon available methods and can help inform prioritization of road and other linear infrastructure segments that require impact mitigation methods to ensure long-term landscape connectivity.
RM_project : Inca Statue
Reverse Modelling of a little inca statue Source: Objaverse 1.0 / Sketchfab
Skeleton project
Lab 8 project Source: Objaverse 1.0 / Sketchfab
Students responses per School for the research project "Perspectives on Learning Technologies"
<p>A Microsoft Excel dataset that includes students' responses for a research project entitled "Perspectives on learning Technologies" conducted in year 2014. Students from three Schools (Psychology, Electrical Engineering Electronics and Computer Science-EEE & CS and Law) of the University of Liverpool participated in it.</p>
Teachers' responses per School for the research project "Perspectives on Learning Technologies"
<p>A Microsoft Excel dataset that includes teachers' responses for a research project entitled "Perspectives on learning Technologies" conducted in year 2014. Teachers from three Schools (Psychology, Electrical Engineering Electronics and Computer Science-EEE & CS and Law) of the University of Liverpool participated in it.</p>
Project ENTICE Ontology M18
<p>The entire ontology including the testing data was evaluated by first using the HermiT validation reasoner and later the Pellet reasoned too. The focus here is to adequately incorporate the data models in the ontology. The syntax and the standards are the same as in the previous version of the ontology, but the table representation is updated. By doing this, we want to strictly split the data properties (attributes) and the object properties (relational data) to induce a higher expressivity level of the ontology. We devoted special attention to the selection of types in data properties aiming to use only fully supported data types in Resource Description Framework (RDF) and Web Ontology Language (OWL).</p>
Online Appendix for "An Exploratory Study of the State of Practice of Performance Testing in Java-Based Open Source Projects"
<p>Here we collect some raw data and additional material to the paper <em>"An Exploratory Study of the State of Practice of Performance Testing in Java-Based Open Source Projects"</em>, by Philipp Leitner and Cor-Paul Bezemer.</p>
FIGURES 1–11. Notoperla fasciata.1. Female pronotum. 2. Adult front procoxal projection. 3. Adult hind leg. 4. Female forewing. 5. Male genitalia, dorsal. 6. Male genitalia, lateral. 7. Female genitalia, ventral. 8. Larval head, dorsal. 9. Larval procoxal projection, dorsal. 10 in redescription of Notoperlopsis femina Illies
FIGURES 1–11. Notoperla fasciata.1. Female pronotum. 2. Adult front procoxal projection. 3. Adult hind leg. 4. Female forewing. 5. Male genitalia, dorsal. 6. Male genitalia, lateral. 7. Female genitalia, ventral. 8. Larval head, dorsal. 9. Larval procoxal projection, dorsal. 10. Larval (male) tergite 10, lateral. 11. Larval (male) tergite 10, dorsal.
FIGURES 12–20. Notoperla magnaspina. 12. Adult front procoxal projection, dorsal. 13 in redescription of Notoperlopsis femina Illies
FIGURES 12–20. Notoperla magnaspina. 12. Adult front procoxal projection, dorsal. 13. Adult foreleg, dorsal.. 14. Male genitalia, dorsal; 15. Male genitalia, lateral. 16. Female genitalia, ventral. 17. Larval front procoxal projection, dorsal. 18. Larval head, dorsal. 19. Larval tergite 10, dorsal. 20. Larval tergite 10, lateral.
FIGURE 3 in Tanaidacea (Crustacea, Peracarida) of the North-east Atlantic: the Agathotanaidae of the AFEN, BIOFAR and BIOICE projects, with a description of a new species of Paragathotanais Lang
FIGURE 3. Paragathotanais vikingus sp. nov. Non-ovigerous female holotype (BIOICE Stn 2849): A, habitus; B, pleotelson apex; C, antennule; D, antenna. Male allotype (BIOICE Stn 3069): E, habitus; F, pereonite-6 and pleon, lateral view (pereopod- 6 show in part). Scale bar: 1mm for A, E and F, 0.22 mm for B, C and D.
FIGURE 2 in Tanaidacea (Crustacea, Peracarida) of the North-east Atlantic: the Agathotanaidae of the AFEN, BIOFAR and BIOICE projects, with a description of a new species of Paragathotanais Lang
FIGURE 2. Comparative habitus of Paragathotanais nanus and P. robustus of similar sizes: A, P. nanus, non-ovigerous female; B, P. nanus, angular form, possibly "incipient male"; C, P. robustus. pereopod-1 propodus, dactylus and unguis: D, P. nanus; E, P. nanus angular form. Scale bar: 0.5 mm for A–C, 0.25 mm for D–E.
FIGURE 1 in Tanaidacea (Crustacea, Peracarida) of the North-east Atlantic: the Agathotanaidae of the AFEN, BIOFAR and BIOICE projects, with a description of a new species of Paragathotanais Lang
FIGURE 1. Distribution of Agathotanaidae (all records) in BIOICE, BIOFAR and AFEN samples. Blue filled circles indicate all tanaidacean records from these surveys; red filled circles agathotanaids (all species).
FIGURE 7 in Tanaidacea (Crustacea, Peracarida) of the North-east Atlantic: the Agathotanaidae of the AFEN, BIOFAR and BIOICE projects, with a description of a new species of Paragathotanais Lang
FIGURE 7. Paranarthrura insignis. Allometric variation in cheliped morphology (merus and basis not shown): A, manca-III, 1.96 mm body length; B, preparatory male, 2.52 mm; C, male, 3.23 mm; D–E, ovigerous female, 3.30 mm. Scale bar: 0.125 mm for A–D, 0.063 mm for E.
FIGURE 4 in Tanaidacea (Crustacea, Peracarida) of the North-east Atlantic: the Agathotanaidae of the AFEN, BIOFAR and BIOICE projects, with a description of a new species of Paragathotanais Lang
FIGURE 4. Paragathotanais vikingus sp. nov. Non-ovigerous female paratype (BIOICE Stn 3069): A, cephalothorax ventrum; B, labrum; C–D, left and right mandibles; E, maxillule endite; F, maxilliped; G, left cheliped; H, uropod. Scale bar: A 0.42 mm; B–H 0.125 mm.
FIGURE 5 in Tanaidacea (Crustacea, Peracarida) of the North-east Atlantic: the Agathotanaidae of the AFEN, BIOFAR and BIOICE projects, with a description of a new species of Paragathotanais Lang
FIGURE 5. Paragathotanais vikingus sp. nov. Non-ovigerous female paratype (BIOICE Stn 3069): A–F, pereopods 1–6 respectively; G, pereopod-6 dactylus and unguis. Scale bar: 0.125 mm.
FIGURE 6 in Tanaidacea (Crustacea, Peracarida) of the North-east Atlantic: the Agathotanaidae of the AFEN, BIOFAR and BIOICE projects, with a description of a new species of Paragathotanais Lang
FIGURE 6. Distribution of Paragathotanais vikingus sp. nov. See Fig.1 for comparison with all tanaidacean records.
FISH 546 Final Project
<p>I analyzed RADseq data on Pacific cod as part of a time series project in FISH 546 class at the University of Washington. In this release of my repo, I stored notebooks and scripts for analyzing the data. I did not finish the project by the end of the class, but I did produce a DAPC of a subset of my genepop file, and calculated pairwise Fst between my cohorts.</p>
FIGURE 6 in Two new species of Syllidae (Annelida: Polychaeta) from DIVA-Artabria I project (cruise 2002) to deep areas off NW Spain
FIGURE 6. Syllis mercedesae sp. nov. A, B. Anterior compound chaetae; C. Anterior aciculae; D and E. Midbody compound chaetae; F. Midbody aciculae; G and H. Posterior compound chaetae; I. Posterior dorsal simple chaeta; J. Posterior ventral simple chaeta; K. Posterior acicula. Scale: 20 μm.
FIGURE 5 in Two new species of Syllidae (Annelida: Polychaeta) from DIVA-Artabria I project (cruise 2002) to deep areas off NW Spain
FIGURE 5. Syllis mercedesae sp. nov. A. Anterior end dorsal view; B. Prostomium, dorsal view (paratype); C. Pygidium dorsal view. Scale: 0.38 mm.
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.