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”
Figure 2 in Two-fold increase in White Stork (Ciconia ciconia) population in Lithuania: a consequence of changing agriculture?
Figure 2. Distance from recorded White Stork nests to the nearest building.
Figure 1 in Two-fold increase in White Stork (Ciconia ciconia) population in Lithuania: a consequence of changing agriculture?
Figure 1. Distribution of densities of occupied White Stork nests and colonies in Lithuania.
Fig. 19 in New data on little known species of click beetles (Coleoptera: Elateridae) in Lithuania
Fig. 19. Distribution of Ampedus tristis in Lithuania
Fig. 15 in New data on little known species of click beetles (Coleoptera: Elateridae) in Lithuania
Fig. 15. Distribution of Ampedus nigroflavus in Lithuania
Fig. 13 in New data on little known species of click beetles (Coleoptera: Elateridae) in Lithuania
Fig. 13. Distribution of Procraerus tibialis in Lithuania
Fig. 11 in New data on little known species of click beetles (Coleoptera: Elateridae) in Lithuania
Fig. 11. Distribution of Paraphothistus nigricornis in Lithuania
Fig. 12 in New data on little known species of click beetles (Coleoptera: Elateridae) in Lithuania
Fig. 12. Distribution of Calambus bipustulatus in Lithuania
Fig. 7 in New data on little known species of click beetles (Coleoptera: Elateridae) in Lithuania
Fig. 7. Distribution of Hypnoidus riparius in Lithuania
Fig. 5 in New data on little known species of click beetles (Coleoptera: Elateridae) in Lithuania
Fig. 5. Distribution of Cidnopus pilosus in Lithuania
AI results complementing the 2020 Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Lithuania
<p>This dataset contains the results of the EU co-funded surveillance activities conducted in 2020, which consisted of:</p> <ul> <li>Serological surveys to monitor the circulation of AIV subtypes H5 and H7 in poultry (active surveillance). These surveys should preferentially target poultry species or production systems with increased risk for introduction of avian influenza (AI).</li> <li>Passive surveillance aiming at the virological detection of AI in wild birds found dead or moribund.</li> </ul>
Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2020/2021 – Lithuania
<p>This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision (EU) 2020/1729. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision (EU) 2020/172. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included.</p> <p>Reporting authorities contributing to 2021 AMR data collection: National Food and Veterinary Risk Assessment Institute</p>
Forestry and Biodiversity monitoring in Lithuania with hyperspectral camera and UAV
<p>Acquisition dates: to be updated.</p> <p>Location: Scots pine and mixed forest in Lithuania</p> <p>Camera data: </p> <p>Spectral Range 400 – 1000 nm</p> <p>Spectral sampling 2.68 nm</p> <p>Spectral resolution 5.5 nm</p> <p>Fore lens focal length 15 mm</p> <p>Field of view 38 deg</p> <p>Spectral bands 224</p> <p>Spatial pixels 1024</p> <p>Flight altitude: 70 m</p> <p>Spatial resolution: 0.05 m/pixel</p> <p> </p> <p> The dataset consists of pine tree forest hyperspectral imaging data acquired with a UAV on several dates. </p> <p>The data from each UAV flight are given as a separate dataset. </p> <p>Each dataset consists of raw and processed hyperspectral imaging data. The raw data include calibration images of white reference and dark background, raw hyperspectral images, and information on the UAV flight path. </p> <p>TheSPECIM CaliGeoPRO software was used to process raw images into hyperspectral data cubes, which are provided in the format ENVI standard. </p> <p><strong>Each flight data will come as a separate hyperlink to the storage.</strong></p> <p><strong>zip file structure (folders):<br> calibration - holds the radiometric calibration ENVI type file (raster of size 1x1024)<br> capture - raw camera capture data, navigation files, log file.<br> metdata, results - config and empty folder<br> out - holds generated ENVI data cube raster file.</strong></p> <p><strong>Download:</strong></p> <p><a href="https://icaerus-data-1.s3.eu-central-1.amazonaws.com/Uzkresti_miskai_new_fl7_20230510_151005.zip">https://icaerus-data-1.s3.eu-central-1.amazonaws.com/Uzkresti_miskai_new_fl7_20230510_151005.zip</a></p>
Photograph and video art from Spiginas and Donkalnis, Western Lithuania
<p>Supplementary material 1. Photography art from Donkalnis and Spiginas</p> <p>Supplementary material 2. Video artwork from Donkalnis</p> <p>Supplementary material 3. Video artwork from Spiginas</p>
Historical data on industrial change and skills in Lithuania
<p>The data was created during a research project where the authors tried to assess the impact of radical industrial change on skills of workforce in Lithuania and other Central and Eastern European (CEE) countries between 1988 and 2008. The data at question, was predominantly used to evaluate the case of Lithuania. Currently the results of the research are in a process of being published. The research was funded by the Research Council of Lithuania (grant No. S-MOD-17-20).</p>
National Checklists: Lithuania Species List
Data from: GBIF.org (23 January 2025) GBIF Occurrence Download <a href="https://doi.org/10.15468/dl.vd2ajk" target="_blank" rel="noopener">https://doi.org/10.15468/dl.vd2ajk</a>
Subspecies and Distribution. N. v. vison Schreber, 1776 — E Canada and NE USA (Allegheny Mts). N. v. aestuarina Grinnell, 1916 — SW USA (California & W Nevada). N. v. aniakensis Burns, 1964 — W Alaska. N. v. energumenos Bangs, 1896 — W Canada and NW USA. N. v. evagor Hall, 1932 — SW Canada (Vancouver I). N. v. evergladensis Hamilton, 1948 — SE USA (SW Florida). N. v. ingens Osgood, 1900 — most of Alaska and NW Canada (N Mackenzie & Yukon). N. v. lacustris Preble, 1902 — C Canada (Keewatin Region, Manitoba & Ontario). N. v. letifera Hollister, 1913 — Great Plains of USA. N. v. low Anderson, 1945 — E Canada (Labrador & Quebec). N. v. lutensis Bangs, 1898 — USA (S Carolina to Florida). N. v. melampeplus Elliot, 1903 — Alaska (Kenai Peninsula). N. v. mink Peale & Palisot de Beauvois, 1796 — SE USA. N. v. nesolestes Heller, 1909 — SW Alaska. N. v. vulgivaga Bangs, 1895 — USA (Arkansas & Louisiana). Introduced to Belarus, Belgium, China, Czech Republic, Denmark, Estonia, Finland, France, Germany, Great Britian, Iceland, Ireland, Italy, Japan (Hokkaido), Latvia, Lithuania, Netherlands, Norway, Poland, Portugal, Russia, Spain, and Sweden. in Mustelidae
Subspecies and Distribution. N. v. vison Schreber, 1776 — E Canada and NE USA (Allegheny Mts). N. v. aestuarina Grinnell, 1916 — SW USA (California & W Nevada). N. v. aniakensis Burns, 1964 — W Alaska. N. v. energumenos Bangs, 1896 — W Canada and NW USA. N. v. evagor Hall, 1932 — SW Canada (Vancouver I). N. v. evergladensis Hamilton, 1948 — SE USA (SW Florida). N. v. ingens Osgood, 1900 — most of Alaska and NW Canada (N Mackenzie & Yukon). N. v. lacustris Preble, 1902 — C Canada (Keewatin Region, Manitoba & Ontario). N. v. letifera Hollister, 1913 — Great Plains of USA. N. v. low Anderson, 1945 — E Canada (Labrador & Quebec). N. v. lutensis Bangs, 1898 — USA (S Carolina to Florida). N. v. melampeplus Elliot, 1903 — Alaska (Kenai Peninsula). N. v. mink Peale & Palisot de Beauvois, 1796 — SE USA. N. v. nesolestes Heller, 1909 — SW Alaska. N. v. vulgivaga Bangs, 1895 — USA (Arkansas & Louisiana). Introduced to Belarus, Belgium, China, Czech Republic, Denmark, Estonia, Finland, France, Germany, Great Britian, Iceland, Ireland, Italy, Japan (Hokkaido), Latvia, Lithuania, Netherlands, Norway, Poland, Portugal, Russia, Spain, and Sweden.
Historical fish survey datasets from productive aquatic ecosystems in Lithuania
<p>Here we present a newly digitized fish monitoring dataset for two major Lithuanian inland ecosystems – Curonian Lagoon and Kaunas Water reservoir. The data comprises fish surveys conducted during <a>1950s to 1980s</a>, using a range of fishing gears and sampling methods. Three different definitions or methods describe the level of detail for each fish community study: Method 1 surveys include individual fish sizes and weights, Method 2 surveys record frequencies of fish in length or weight groups, whereas Method 3 only records the total catch biomass of a given species. </p>
FIGURE 6 in The present state of the leech fauna (Annelida: Hirudinea) in Lithuania
FIGURE 6. Freshwater leeches in Lithuania:dorsal view of Hirudo medicinalis (T), dorsal papillae (showed by arrow) (U), lateral–ventral view of the body (V); W–lateral view of Haemopis sanguisuga with male copulatory organ outside of the body.
FIGURE 5 in The present state of the leech fauna (Annelida: Hirudinea) in Lithuania
FIGURE 5. Freshwater leeches in Lithuania: dorsal view of Erpobdella octocullata (N), head region with full set of eyespots (O) and eyespots developed only in one side of the head (P). Erpobdella monostriata head region (Q) and posterior part of body (R). Erpobdella nigricollis dorsal view of the head region (S).
FIGURE 4 in The present state of the leech fauna (Annelida: Hirudinea) in Lithuania
FIGURE 4. Freshwater leeches in Lithuania: Theromyzon tessulatum an adult (J) and juvenile (K). Piscicola geometra anterior (L) and posterior sucker (M).
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.