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.
167
datasets available to search
ShareScore release 0.9.0
Dataset results
167 results for “Lithuania”
Effectiveness of a Guided Mental Health Chatbot for Youth Living in Lithuania
ClinicalTrials.gov study NCT07012876. IPD Sharing: YES. Countries: 1. Publications: 0.
FIGURE 19 in Evolutionary significance of the retiolitine Gothograptus (Graptolithina) with four new species from the Silurian of the East European Platform (Baltica), Poland and Lithuania
FIGURE 19. Mature tubarium with appendix of Gothograptus obtectus Kozłowska-Dawidziuk, 1990 from the Bartoszyce IG- 1 core, depth 1677.5 m, lundgreni Biozone, Poland, ZPAL G.55/48. A. enlargement of distal part of specimen. B. enlargement of proximal end. C. whole specimen, reverse view. Abbreviations: lat. ap.—lateral apertural.
FIGURE 16 in Evolutionary significance of the retiolitine Gothograptus (Graptolithina) with four new species from the Silurian of the East European Platform (Baltica), Poland and Lithuania
FIGURE 16. Tubaria of mature colonies of Gothograptus domeyki n. sp., Šiupyliai-69 core, upper part of lundgreni Biozone, Lithuania. A–B. finite tubarium with seven pairs of thecae and appendix, holotype, depth 1009,1 m, VU RET-13; A. ventrolateral view of specimen; B. enlargement of thick ancora and broken outer ancora, oblique view. C, H. finite tubarium, depth 1010.0 m, VU RET-14; C. enlargement of two thecae; H. enlargement of proximal end. D–E. fragment of finite tubarium, paratype, depth 1010.0 m, VU RET-15; D. whole specimen, ventro-lateral view; E. proximal thecae with spines. F–G. proximal end of young tubarium, depth 1010.0 m, VU RET-16; F. enlargement of proximal theca; G. enlargement of ancora
FIGURE 18 in Evolutionary significance of the retiolitine Gothograptus (Graptolithina) with four new species from the Silurian of the East European Platform (Baltica), Poland and Lithuania
FIGURE 18. Details of mature tubarium of Gothograptus kozlowskii Kozłowska-Dawidziuk, 1990 holotype, ZPAL G.XIII/43, Baltic erratic boulder 147 from Jarosławiec, Poland. A. ventral view; B. lateral view, reverse side of tubarium; C. proximal end, outside view; D. orifice of th51; E. opening of appendix.
Fig. 3 in Pauesia species (Hymenoptera: Braconidae: Aphidiinae) attacking Eulachnini aphids (Hemiptera: Aphididae: Lachninae) on coniferous plants in Lithuania: ecological and mitochondrial COI diversity
Fig. 3 Maximum likelihood tree of Pauesia species attacking Eulachnini aphids in Lithuania and samples identified as P. pini and P. juniperorum from GenBank based on partial COI sequences. Bootstrap test values for ML (left) and MP (middle), and BI posterior probabilities (right) are indicated. For details, see Supplementary Fig. 1
Fig. 1 in Pauesia species (Hymenoptera: Braconidae: Aphidiinae) attacking Eulachnini aphids (Hemiptera: Aphididae: Lachninae) on coniferous plants in Lithuania: ecological and mitochondrial COI diversity
Fig. 1 Sites of aphid collection in 2018–2019 in four Climatic regions of Lithuania. Locali- ties where parasitoids were also found are shown as black circles. 1—Coastal, 2—Samogitian, 3—Middle Lithuanian lowland, 4—Southeastern highlands
Database for EcoServe project, Lithuania
<p>In this database we combined multidisciplinary expertise to <strong>predict the future ecosystem services of the coastal Lithuania</strong>. This involves not only <strong>mapping and modelling </strong>ecosystem services per se in the area, which in turn is a challenging task itself (Crossman et al., 2013, Duarte et al. 2016), but rather predict using both <strong>environmental</strong> (biophysical) modeling tools and <strong>socio-economic</strong> scenario development the future ecosystem services in the view of global change.</p> <p>Combination of these two (biophysical and socio-economic modelling) approaches is still a challenge not only in Lithuania (where were no such attempts at the date), but also at the global scale (c.f. Zessner et al., 2017; Di Minin et al., 2017; Lotze-Campen et al., 2017). We propose an iterative approach of the assessment and modelling of biophysical parameters, socio-economic scenarios and associated ecosystem services.</p> <p>The database includes the results of the research project "EcoServe". The geographic data is stored in the file geodatabase, including modeling results and ecosystem potential maps for the coastal area of the Curonian Lagoon, other datasets (socioeconomic, statistics, landuse, according CORINE dataset, and etc.) are stored in Excel files.</p> <p>The project has been funded by the European Social Fund (project No 09.3.3-LMT-K-712-01-0178) under grant agreement with the Research Council of Lithuania (LMTLT)</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.