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This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
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This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Adobe PDF
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Adobe PDF
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Jun 3, 2026 - Riga Stradiņš University
Grope, Ilze; Potetinova, Inguna, 2025, "Residents' in Family Medicine Perceptions of Family Medicine in Latvia: Qualitative Interview Data", https://doi.org/10.48510/FK2/FMVLEO
Data set includes transcripts of interviews with 15 (medical) residents in family medicine from Latvia.
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
May 28, 2026 - CLARIN-LV
Rituma, Laura; Pretkalniņa, Lauma; Saulīte, Baiba; Nešpore-Bērzkalne, Gunta; Grūzītis, Normunds; Znotiņš, Artūrs, 2026, "LVTB - Latvian Treebank v2.18", https://hdl.handle.net/20.500.12574/159, AiLab IMCS UL
Latvian Treebank (LVTB) is being developed since 2010. It is manually annotated according to a hybrid dependency-constituency grammar model. This version of LVTB contains data used for deriving the corresponding version of Latvian UD Treebank (UDLV-LVTB).
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
May 28, 2026 - CLARIN-LV
Rituma, Laura; Pretkalniņa, Lauma; Saulīte, Baiba; Nešpore-Bērzkalne, Gunta; Grūzītis, Normunds; Znotiņš, Artūrs, 2025, "LVTB - Latvian Treebank v2.17", https://hdl.handle.net/20.500.12574/142, AiLab IMCS UL
Latvian Treebank (LVTB) is being developed since 2010. It is manually annotated according to a hybrid dependency-constituency grammar model. This version of LVTB contains data used for deriving the corresponding version of Latvian UD Treebank (UDLV-LVTB).
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
May 28, 2026 - Natural Sciences
Locs, Mārtiņš, 2026, "Assessment of BirdNetR classification accuracy in passive acoustic monitoring of reedbed birds / BirdNet klasifikatora precizitātes novērtējums niedrāju putnu pasīvā akustiskajā monitoringā", https://doi.org/10.71782/DATA/FGYBPI, DataverseLV, V1, UNF:6:066QXtZICNQDYrxCHKAufg== [fileUNF]
[ENG] This repository was created to maintain and ensure the storage of large files of the bachelor's thesis, as well as to reproduce the work progress and results. The study evaluated the accuracy of the deep learning classifier BirdNet in passive acoustic monitoring of reed birds in Latvia. Autonomous recording units were placed in 24 randomly se...
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