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64 results for “Latvian”

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zenodo40/100

Fig. 18–26 in Latvian Molytinae (Coleoptera, Curculionidae): Research History, Fauna And Bionomy

Fig. 18–26. Molytinae: 18 - Hylobius transversovittatus, rostrum and antennae, 19 – Pissodes harcyniae, rostrum and antennae, 20 – Anoplus sp., protarsus, 21 – Hylobius sp., protarsus, 22 – Hylobius abietis, apex of rostrum, dorsal view, 23 – Lepyrus palustris, apex of rostrum, dorsal view, 24 – Hylobius transversovittatus, antenna, 25 – Hylobius pinastri, antenna, 26 – Hylobius abietis, antenna.

opencc-by-4.0Dec 2012View details →
zenodo40/100

Fig. 1–8 in Latvian Molytinae (Coleoptera, Curculionidae): Research History, Fauna And Bionomy

Fig. 1–8. Molytinae, habitus, dorsal view: 1 – Liparus glabrirostris, 2 – L. coronatus, 3 – Hylobius abietis, 4 – H. excavatus, 5 – H. pinastri, 6 – Lepyrus palustris, 7 – L. capucinus, 8 – Hylobius transversovittatus.

opencc-by-4.0Dec 2012View details →
zenodo40/100

Figures 5-8 in New European species of Platygastrinae, with an updated list of Latvian species of Platygastrinae and Sceliotrachelinae (Hymenoptera: Platygastridae)

Figures 5-8. Synopeas samium sp. nov. holotype female. 5 – head from above; 6 – antenna; 7 – scutellum and propodeum in lateral view; 8 – metasoma from above.

opencc-by-4.0Nov 2014View details →
zenodo40/100

Figures 1-4 in New European species of Platygastrinae, with an updated list of Latvian species of Platygastrinae and Sceliotrachelinae (Hymenoptera: Platygastridae)

Figures 1-4. Platygaster multicostata sp. nov. holotype female. 1 – head from above; 2 – antenna; 3 – scutellum and propodeum in lateral view; 4 – metasoma from above.

opencc-by-4.0Nov 2014View details →
zenodo40/100

Figures 9-13 in New European species of Platygastrinae, with an updated list of Latvian species of Platygastrinae and Sceliotrachelinae (Hymenoptera: Platygastridae)

Figures 9-13. Synopeas vikbergi sp. nov. 9 – head from above; 10 – female antenna; 11 – female scutellum and propodeum in lateral view; 12 – female metasoma from above; 13 – male antenna.

opencc-by-4.0Nov 2014View details →
zenodo40/100

Figure 2 in PARASETODES RESPERSELLUS (RAMBUR 1842) – A NEW CADDISFLY (TRICHOPTERA, LEPTOCERIDAE) SPECIES TO LITHUANIAN AND LATVIAN FAUNA

Figure 2. Parasetodes respersellus records from Lithuania and neighbouring countries in 2011–2022. Squares – new records from Lithuania and Latvia, triangles – records from literature (Buczyńska et al., 2014; Višinskienė et al., 2018; Ostrovsky, 2021).

opencc-by-4.0Dec 2022View details →
zenodo40/100

Figure 1 in PARASETODES RESPERSELLUS (RAMBUR 1842) – A NEW CADDISFLY (TRICHOPTERA, LEPTOCERIDAE) SPECIES TO LITHUANIAN AND LATVIAN FAUNA

Figure 1. Parasetodes respersellus from Lithuania (left, photo by Ž.P.) and from Latvia (right, photo by U.P.)

opencc-by-4.0Dec 2022View details →
zenodo36/100

Figure 2 in Epiphytic Lichens In Latvian Manor Parks

Figure 2. Total number of lichen taxa by growth forms.

opencc-by-4.0Dec 2022View details →
zenodo36/100

Fig. 1 in Genetic And Morphological Variability Of Small Vendace (Coregonus Albula (Linnaeus, 1758)) Population In Three Latvian Lakes

Fig. 1. The location of sampling sites. - Lake Sventes, Lake Nirzas and Lake Rāznas.

opencc-by-4.0Dec 2016View details →
zenodo36/100

Fig. 4 in A Review Of Latvian Saproxylic Beetles From The European Red List

Fig. 4. Boros schneideri (Panzer, 1795).

opencc-by-4.0Dec 2014View details →
zenodo36/100

Fig. 3 in A Review Of Latvian Saproxylic Beetles From The European Red List

Fig. 3. Hylochares cruentatus (Gyllenhal, 1808).

opencc-by-4.0Dec 2014View details →
zenodo36/100

Fig. 2 in Hermaeophaga mercurialis (Fabricius, 1792) - a new genus and species of flea beetle (Coleoptera: Chrysomelidae) in the Latvian fauna

Fig. 2. Hermaeophaga mercurialis (F.) habitus.

opencc-by-4.0Dec 2008View details →
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Fig. 1 in Hermaeophaga mercurialis (Fabricius, 1792) - a new genus and species of flea beetle (Coleoptera: Chrysomelidae) in the Latvian fauna

Fig. 1. Localition of Hermaeophaga mercurialis (F.) record from Naujene, Latvia.

opencc-by-4.0Dec 2008View details →
zenodo36/100

Figs. 4-5 in Leaf-beetles Oulema septentrionis (Weise, 1880) and O. erichsonii (Suffrian, 1841) (Coleoptera: Chrysomelidae) in Latvian fauna

Figs. 4-5. Apex of flagellum: 4 – Oulema erichsoni, 5 – O. septentrionis

opencc-by-4.0Dec 2010View details →
zenodo32/100

FIGURE 1 in Biruta Rasiņa's collection of scale insects (Hemiptera: Sternorrhyncha Coccomorpha) at the Latvian National Museum of Natural History, including type material of several species

FIGURE 1. The sample box with microscope slides, originally sent from China to Leningrad to Nikolai Borchsenius; later, Borchsenius himself gave this box to Biruta Rasiņa. Currently, some of the type material of the taxa described by Biruta Rasiņa are stored in this box.

opennotspecifiedSep 2021View details →
zenodo28/100

Publications of ethnographers in the Latvian SSR 1948-1989

Open the record for dataset details and reuse information.

opencc-by-4.0May 2024View details →
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Fig. 1 in Two new leaf-beetles species (Coleoptera: Chrysomelidae) for the Latvian fauna

Fig. 1. The localities of the new leaf beetles species for the fauna of Latvia (1 – Ilgas, 2 – Gaiziņkalns, 3 - Sprukti): 1 – Chrysolina coerulans coerulans (Scriba); 2 and 3 – Cryptocephalus solivagus Leonardi & Sassi.

opencc-by-4.0Dec 2009View details →
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Figure 14 in New European species of Platygastrinae, with an updated list of Latvian species of Platygastrinae and Sceliotrachelinae (Hymenoptera: Platygastridae)

Figure 14. Eastern Latvia, Jēkabpils, summer 2012, Malaise trap installation in garden (to the left against the wall).

opencc-by-4.0Nov 2014View details →
zenodo24/100

Database of feed efficiency indicators of intensive fattening lambs of sheep breeds in Latvia in 2nd trial (A23) with-in the framework of the project of the Latvian Council of Science LZP-2021/1-0489 project

<p><span>Project of The Latvian Council of Science (LCS) - LZP-2021/1-0489 project: &ldquo;<strong>Development of an innovative approach to identify biological determinants involved in the between-animal variation in feed efficiency in sheep farming</strong>&rdquo;.</span></p> <p><span>The <strong>aim of the project</strong> is</span><span> to determine whether the feed efficiency status of <span>Latvian meat sheep breeds</span> could be predicted using a panel of genetic and molecular markers previously found to be associated with divergent FE status in a training population of lambs when fed the same diet.</span></p> <p><strong><span>Novelty</span></strong><span>: to determine the parameters predicting the most productive result of lamb rearing, we set out to develop the cheapest and most effective method for determining markers of feed efficiency - based on molecular and genetic markers obtained from the blood of live lambs. </span></p> <p><strong><span>About the project:</span></strong></p> <p><span>The costs associated with lambing (buying or keeping sheep) and preparing or purchasing feed are the two most significant components of variable costs in sheep raising. Feed costs are high due to poor grain growing conditions in major producing countries, the use of feed grains in ethanol production, and increased competition for land in crop production compared to urban development<span>.</span> <span>Feed efficiency </span>in growing lambs (i.e., the animal&rsquo;s ability to reach a market or adult body weight (BW) with the least feed intake) is a critical factor in the sheep industry. <span>Improving FE reduces production costs. Improving FE by 5% can bring economic benefits up to four times higher than a 5% increase in average daily gain (ADG).</span></span></p> <p><span>Traditionally, meat breeding programs have focused on outputs due mainly to the routine availability of phenotypic data on outputs or correlated traits. Currently, no marker has successfully explained enough of the variability in <span>feed efficiency </span>that they were used as part of a routine improvement program. According to our data, no genetic parameters for performance and feed efficiency traits are available for sheep. <span>The physiological determinants of feed efficiency or putative biomarkers used to analyse animal-to-animal variation in live lambs could be a cost-effective and rapid tool for genetic selection or management decisions.</span></span></p> <p><strong><span>About the data of the project:</span></strong></p> <p><span>LZP-2021/1-0489 project data on lamb samples of the second year: 2023, or A23 group, which consists of 92 intensively fattened lambs from eight breeds, including LT breed, which were raised in the meadow and are semi-sibi lambs within the scope of the study.</span></p> <p><span>The database contains data on ultrasonography measurements of lambs during the beginning and end of fattening, intensive fattening data - actual and calculated on the 90th and 150th day, the amount of feed used and slaughter data. Ultrasonography data were used to calculate muscle and/or fat depth changes at the 13th rib during the fattening period.</span></p> <p><span><span>Based on the requirements of the breeding program of the breeds (LAAA, 2022), every year, the offspring of the sire ram, certified for breeding activity, are selected and analysed to estimate the sire rams.</span></span><span><span> </span></span><span><span>All lambs were born as twins, triplets or quadruplets from different ewes and health status was assessed before inclusion in the study so that there were at least two lambs per sire ram from the breed. This study was carried out in cooperation with the Latvian Sheep Breeders' Association </span></span><span>at<span> the ram breeding control station.</span></span></p> <p><strong><span>&nbsp;</span></strong></p> <p><span>The data is the<strong><span>&nbsp;joint property</span></strong>&nbsp;of the participants of the LCS project: the University of Latvia and the Latvian University of Life Sciences and Technologies.</span></p>

restrictedcc-by-4.0Nov 2024View details →
zenodo24/100

Database of methods of significant SNPs analysed in DNA of the 2nd trial (A23) within the framework of the project of the Latvian Council of Science LZP-2021/1-0489 project

<p>Project of The Latvian Council of Science (LCS) - LZP-2021/1-0489 project: &ldquo;<strong>Development of an innovative approach to identify biological determinants involved in the between-animal variation in feed efficiency in sheep farming</strong>&rdquo;.</p> <p>The <strong>aim of the project</strong> is to determine whether the feed efficiency status of Latvian meat sheep breeds could be predicted using a panel of genetic and molecular markers previously found to be associated with divergent FE status in a training population of lambs when fed the same diet.</p> <p><strong>Novelty</strong>: to determine the parameters predicting the most productive result of lamb rearing, we set out to develop the cheapest and most effective method for determining markers of feed efficiency based on molecular and genetic markers obtained from the blood of live lambs.</p> <p><strong>About the project:</strong></p> <p>The costs associated with lambing (buying or keeping sheep) and preparing or purchasing feed are the two most significant components of variable costs in sheep raising. Feed costs are high due to poor grain growing conditions in major producing countries, the use of feed grains in ethanol production, and increased competition for land in crop production compared to urban development. Feed efficiency in growing lambs (i.e., the animal&rsquo;s ability to reach a market or adult body weight (BW) with the least feed intake) is a critical factor in the sheep industry. Improving FE reduces production costs. Improving FE by 5% can bring economic benefits up to four times higher than a 5% increase in average daily gain (ADG).</p> <p>Traditionally, meat breeding programs have focused on outputs due mainly to the routine availability of phenotypic data on outputs or correlated traits. Currently, no marker has successfully explained enough of the variability in feed efficiency that they were used as part of a routine improvement program. According to our data, no genetic parameters for performance and feed efficiency traits are available for sheep. The physiological determinants of feed efficiency or putative biomarkers used to analyse animal-to-animal variation in live lambs could be a cost-effective and rapid tool for genetic selection or management decisions.</p> <p><strong>About the data of the project:</strong></p> <p>The database contains methodologies for 57 SNPs, for which a statistically significant association with one of the feed efficiency indicators was found in the project's first group (A22). A laboratory-based genotyping method was developed for each selected SNP, which was tested using samples from the A22 group; the results were obtained using the NGS methodology.</p> <p>&nbsp;</p> <p><strong>&nbsp;</strong></p> <p>The data is the<strong>&nbsp;joint property</strong>&nbsp;of the participants of the LCS project: the University of Latvia and the Latvian University of Life Sciences and Technologies.</p>

restrictedcc-by-4.0Nov 2024View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record