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.
1,579
datasets available to search
ShareScore release 0.9.0
Dataset results
1,579 results for “Baltics”
Fig. 5 in A New Rock Crawler in Baltic Amber, with Comments on the Order (Mantophasmatodea: Mantophasmatidae)
Fig. 5. Hypothesis of relationships among Recent orders of Polyneoptera (modified from Engel and Grimaldi, 2000); dashed lines indicate likely affinity of Mantophasmatodea with Grylloblattodea.
Fig. 5 in Rock Crawlers in Baltic Amber (Notoptera: Mantophasmatodea)
Fig. 5. Photomicrograph of holotype of Adicophasma spinosum Engel and Grimaldi showing detail of forelegs, particularly the presence of profemoral and protibial spination (similar, albeit shorter and less stout, spines are also present on the midlegs; see Engel and Grimaldi, 2004).
Fig. 3 in Rock Crawlers in Baltic Amber (Notoptera: Mantophasmatodea)
Fig. 3. Photomicrograph of holotype foreleg of Adicophasma grylloblattoides Arillo and Engel, new species (MCNA 10686).
Fig. 4 in Rock Crawlers in Baltic Amber (Notoptera: Mantophasmatodea)
Fig. 4. Illustration of head and pro- and mesothoracic segments of Adicophasma grylloblattoides Arillo and Engel, new species (MCNA 10686).
Fig. 6 in A New Alderfly in Baltic Amber (Megaloptera: Sialidae)
Fig. 6. Ventral aspect of the terminalia of the female holotype of Sialis (Protosialis) voigti, n.sp.
Figs. 2–3 in A New Alderfly in Baltic Amber (Megaloptera: Sialidae)
Figs. 2–3. Photomicrographs of the holotype female of Sialis (Protosialis) voigti, n.sp. 2. Dorsal aspect.
Figs. 4–5 in A New Alderfly in Baltic Amber (Megaloptera: Sialidae)
Figs. 4–5. Line illustration of the holotype female of Sialis (Protosialis) voigti, n.sp. 4. Dorsal aspect.
Fig. 1 in A New Alderfly in Baltic Amber (Megaloptera: Sialidae)
Fig. 1. Photomicrograph of a mature alderfly larva in middle Eocene Baltic amber (private collection of Mr. Jürgen Velten, Idstein).
Figs. 7–8. A in A New Alderfly in Baltic Amber (Megaloptera: Sialidae)
Figs. 7–8. A putative specimen of Sialis (Protosialis) voigti, n.sp. 7. Illustration of the specimen.
Figs 1-3 in Thaumastotingis areolatus nov.gen., nov.sp. a conspicuous new Thaumastocoridae from Baltic Amber (Hemiptera: Heteroptera)
Figs 1-3: Holotype male of Thaumastotingis areolatus nov.gen., nov.sp.: (1) dorsal view, (2) ventral view; (3) terminal segments ventral view.
Figs. 4-6 in Thaumastotingis areolatus nov.gen., nov.sp. a conspicuous new Thaumastocoridae from Baltic Amber (Hemiptera: Heteroptera)
Figs. 4-6: Paratype female of Thaumastotingis areolatus nov.gen., nov.sp.: (4) dorsal view, (5) ventral view; (6) terminal segments ventral view.
Differences in carbon acquisition could explain adaptive responses in a Baltic Sea pico-phytoplankton
<p>The data uploaded are the basis of study on the carbon update in a Baltic Sea Pico-plankton species. Our study addresses a challenging question concerning the adaptive responses to warming and carbon uptake related strategies in a pico-phytoplankton species, which are, unlike bloom-forming, larger phytoplankton, contributing to the carbon cycle and the base of food-webs all year round. In addition, we address this question also in non-exponential growth conditions. This is important considering that most phytoplankton species are likely not at exponential phase all the time. We show that space for time substitution experiments provide a valid method for investigating questions about the adaptive potential in pico-phytoplankton that the measurements of potential growth on organic carbon sources can potentially highlight differences in carbon acquisition strategies.</p>
The computation results of coupled hydrological and hydrodynamic modelling application for the Nemunas River watershed – Curonian Lagoon – South-Eastern Baltic Sea continuum
<p>The datasets provided here were used to analyse the cumulative impacts of climate change in a Nemunas River watershed – Curonian Lagoon – South‑Eastern Baltic Sea continuum by applying a state-of-the-art coupled modelling system, which consists of hydrological and hydrodynamic models.</p> <p>Meteorological data used for running the models were acquired from CORDEX (Coordinated Regional Downscaling Experiment) scenarios for Europe from the Rossby Centre high-resolution regional atmospheric climate model (RCA4), which consisted of four sets of simulations (downscaling) driven by four global climate models:</p> <table> <tbody> <tr> <th>Abbreviation in datasets</th> <th>Model</th> <th><strong>Institution</strong></th> </tr> </tbody> <tbody> <tr> <td>ICHEC</td> <td>EC-Earth</td> <td>Irish Centre for High-End Computing</td> </tr> <tr> <td>IPSL</td> <td>IPSL-CM 5A-MR</td> <td>The Institut Pierre-Simon Laplace</td> </tr> <tr> <td>MOHC</td> <td>HadGEM2-ES</td> <td>Met Office Hadley Centre</td> </tr> <tr> <td>MPI</td> <td>MPI-ESM-LR</td> <td>Max Planck Institute for Meteorology</td> </tr> </tbody> </table> <p> </p> <p>Climate change scenarios and periods:</p> <ul> <li>Historical/reference (1970-2005);</li> <li>RCP4.5 (2005-2100);</li> <li>RCP8.5 (2005-2100).</li> </ul> <p>The datasets consist of time series for the parameters of:</p> <ul> <li><strong>Ice thickness</strong> - average ice thickness in the Curonian Lagoon;</li> <li><strong>Meteorological data</strong> - bias-corrected temperature and precipitation data for the marine and terrestrial areas;</li> <li><strong>Nemunas River discharge</strong> - simulated average daily values for the discharge and water temperature;</li> <li><strong>Salinity</strong> - selected points in the south-eastern Baltic Sea and one point next to Juodkrantė (in the Curonian Lagoon);</li> <li><strong>Water fluxes</strong> - through four predefined cross-sections in the Curonian Lagoon;</li> <li><strong>Water level</strong> - in 10 preselected points in the Curonian Lagoon and South-eastern Baltic Sea;</li> <li><strong>Water residence time</strong> - in the total Curonian Lagoon area, as well as its northern and southern parts;</li> <li><strong>Water temperature</strong> - in 10 preselected points in the Curonian Lagoon and South-eastern Baltic Sea.</li> </ul> <p>Some of the datasets (zip files) have additional information (coordinates, data column explanations, units, etc.) in READ_ME.txt files.</p>
Coastal flood maps and extreme sea levels for the German Baltic Sea coast
<p>The provided data was produced as part of the Ecas-Baltic project (2020 - 2023). The project is funded by the Federal Ministry of Education and Research in Germany (BMBF, funding code 03F0860H).</p> <p>The dataset contains information supporting the conclusions presented in the following publication (the final, revised version of the article will also be accessible via the preprint given below):</p> <p>Kiesel, J., Lorenz, M., König, M., Gräwe, U., and Vafeidis, A. T.: A new modelling framework for regional<br> assessment of extreme sea levels and associated coastal flooding along the German Baltic Sea coast,<br> Nat. Hazards Earth Syst. Sci. Discuss. [preprint], https://doi.org/10.5194/nhess-2022-275, in review, 2023.</p> <p>The dataset contains:</p> <p>- the location and names of flood boundary stations</p> <p>- the boundary conditions provided by the coastal ocean model at each of the flood boundary stations for all storm surge events simulated in the study cited above</p> <p>- the flood maps containing both the maximum flood extent and maximum inundation depth at every grid cell of the coastal inundation model</p> <p>- the spatially explicit results of the extreme value analysis for every grid cell in the coastal ocean model</p> <p>- the modelled monthly peak water levels between 1961 and 2018 for every grid cell of the coastal ocean model</p> <p>- the modelled timeseries of water levels during the storm surge from January 2nd 2019 and the entire hindcast period (1961-2018) for all tide gauges along the German Baltic Sea coast</p> <p>For further information, we refer the reader to the readme file in this dataset or the publication itself.</p> <p> </p> <p> </p> <p> </p>
Fig. 7 in A revision of Eocene Bittacidae (Mecoptera) from Baltic amber, with the description of a new species
Fig. 7. Epiandrial lobes of Baltic amber Bittacidae in lateral aspect: (A) Bittacus succinus Carpenter; (B) Hylobittacus fossilis (Carpenter); (C) Hylobittacus minimus (Carpenter); (D) Hylobittacus picteti sp. n. Scale bar = 1 mm.
Fig. 6 in A revision of Eocene Bittacidae (Mecoptera) from Baltic amber, with the description of a new species
Fig. 6. Hylobittacus picteti sp. n.: (A, B) forewing of female 1150/2, general appearance and details of venation; (C–F) holotype DEIM 674/1: (C), fore- and hind wing, (D) head with antenna and palp, (E) male genitalia, lateral aspect; (F) epiandrium, dorsal aspect. Abbreviation: e – epiandrium. Scale bars: Figs 6A–C = 5 mm, Figs 6D–F = 1 mm.
Fig. 5 in A revision of Eocene Bittacidae (Mecoptera) from Baltic amber, with the description of a new species
Fig. 5. Hylobittacus minimus (Carpenter): (A) holotype MCZ 5205, general appearance; (B, C) male 674/2, reconstruction of forewing and genitalia. Scale bars: Figs 5A, 5B = 5 mm, Fig. 5C = 1 mm.
Fig. 4 in A revision of Eocene Bittacidae (Mecoptera) from Baltic amber, with the description of a new species
Fig. 4. Hylobittacus fossilis (Carpenter): (A, B) male DEIM 1150/1, general appearance of wing and details of venation; (C, D) female MP/1/1/551/05/A, general appearance of wing (reversed left-right) and details of venation; (E, F) male genitalia, DEIM 1150/1 general appearance and details. Abbreviation: e – epiandrium. Scale bars: Figs 4A–D = 5 mm, Figs 4E, 4F = 1 mm.
Fig. 3 in A revision of Eocene Bittacidae (Mecoptera) from Baltic amber, with the description of a new species
Fig. 3. Hylobittacus antiquus (Pictet): (A, B) specimen MZC 5210, general appearance and details of forewing venation; (C) venation of forewing (after Pictet-Baraban & Hagen, 1856); (D, E) specimen MP 1/1145/188/01, general appearance of wing and details of venation. Scale bar = 5 mm.
Fig. 2 in A revision of Eocene Bittacidae (Mecoptera) from Baltic amber, with the description of a new species
Fig. 2. Bittacus succinus Carpenter, holotype: (A) habitus, reversed left-right; (B) forewing; (C) male genitalia in lateral view (after Carpenter 1954). Abbreviation: e – epiandrial lobe. Scale bars: Figs 2A, 2B = 5 mm, Fig. 2C = 1 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.