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Latvia University of Life Sciences and Technologies

University of Latvia

Rīga Stradiņš University

Riga Technical University

CLARIN-LV

Latvian Academy of Culture

EKA University of Applied Sciences

Baltic International Centre for Economic Policy Studies (BICEPS)

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141 to 150 of 1,378 Results

AHP_Variable_Information_Codebook.pdf Nov 26, 2025 - Dataset for Analysis of Bioregional Development Scenarios in Latvia Adobe PDF - 127.9 KB - MD5: 8fc7f213dbd336068231bba76872291e Variable information descriptions for csv files
Expert_A_Normalized.tabEmbargoed Nov 26, 2025 - Dataset for Analysis of Bioregional Development Scenarios in Latvia Tabular Data - 10.9 KB - 6 Variables, 201 Observations - UNF:6:iE+9XqlytG6meoj54pGYAg== Expert’s A normalized values for all comparisons
Expert_B_Normalized.tabEmbargoed Nov 26, 2025 - Dataset for Analysis of Bioregional Development Scenarios in Latvia Tabular Data - 11.0 KB - 6 Variables, 201 Observations - UNF:6:wNLa0VbipcJe7KMe6NW2Ag== Expert’s B normalized values for all comparisons
Expert_C_Normalized.tabEmbargoed Nov 26, 2025 - Dataset for Analysis of Bioregional Development Scenarios in Latvia Tabular Data - 11.1 KB - 6 Variables, 201 Observations - UNF:6:SwWt6soE5MZnEzWHaPTU1A== Expert’s C normalized values for all comparisons
Expert_D_Normalized.tabEmbargoed Nov 26, 2025 - Dataset for Analysis of Bioregional Development Scenarios in Latvia Tabular Data - 11.0 KB - 6 Variables, 201 Observations - UNF:6:WGgXCg1a+vr+FzzmFkkSqw== Expert’s D normalized values for all comparisons
Expert_E_Normalized.tabEmbargoed Nov 26, 2025 - Dataset for Analysis of Bioregional Development Scenarios in Latvia Tabular Data - 11.0 KB - 6 Variables, 201 Observations - UNF:6:cy4rDN/WRMNgp9ua/v3FOg== Expert’s E normalized values for all comparisons
Expert_F_Normalized.tabEmbargoed Nov 26, 2025 - Dataset for Analysis of Bioregional Development Scenarios in Latvia Tabular Data - 11.0 KB - 6 Variables, 201 Observations - UNF:6:LsGH4J7cOiARCIPnMxe0ww== Expert’s F normalized values for all comparisons
ReadMe.txt Nov 26, 2025 - Dataset for Analysis of Bioregional Development Scenarios in Latvia Plain Text - 7.8 KB - MD5: f2046323b7e4974a5e66a7447135c9ab ReadMe file
Ethics_approval_reuseLV.pdf Nov 26, 2025 - Transcriptomes From Hepatocellular Carcinoma and Normal Liver Tissues Adobe PDF The file is uploaded as PDF, the original file format is EDOC. File in original format can be assessed by emailing Zanda.Daneberga@rsu.lv This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Transcriptomes From Hepatocellular Carcinoma and Normal Liver Tissues Nov 26, 2025 - Rīga Stradiņš University Miklasevics, Edvins; Vilmanis, Janis; Daneberga, Zanda, 2019, "Transcriptomes From Hepatocellular Carcinoma and Normal Liver Tissues", https://doi.org/10.48510/FK2/00NG93 This dataset describes a specific study group. Nine patients were included in the study group, all with clinical diagnosis of hepatocellular carcinoma (HCC). The study group consisted of seven male patients and two female patients of age from 45 to 80. Patients had a single liver tumor and indications for surgery were set according to the Barcelona... This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.

AHP_Variable_Information_Codebook.pdf

Nov 26, 2025 - Dataset for Analysis of Bioregional Development Scenarios in Latvia

Adobe PDF - 127.9 KB -

Variable information descriptions for csv files

Expert_A_Normalized.tabEmbargoed

Nov 26, 2025 - Dataset for Analysis of Bioregional Development Scenarios in Latvia

Tabular Data - 10.9 KB - 6 Variables, 201 Observations -

Expert’s A normalized values for all comparisons

Expert_B_Normalized.tabEmbargoed

Nov 26, 2025 - Dataset for Analysis of Bioregional Development Scenarios in Latvia

Tabular Data - 11.0 KB - 6 Variables, 201 Observations -

Expert’s B normalized values for all comparisons

Expert_C_Normalized.tabEmbargoed

Nov 26, 2025 - Dataset for Analysis of Bioregional Development Scenarios in Latvia

Tabular Data - 11.1 KB - 6 Variables, 201 Observations -

Expert’s C normalized values for all comparisons

Expert_D_Normalized.tabEmbargoed

Nov 26, 2025 - Dataset for Analysis of Bioregional Development Scenarios in Latvia

Tabular Data - 11.0 KB - 6 Variables, 201 Observations -

Expert’s D normalized values for all comparisons

Expert_E_Normalized.tabEmbargoed

Nov 26, 2025 - Dataset for Analysis of Bioregional Development Scenarios in Latvia

Tabular Data - 11.0 KB - 6 Variables, 201 Observations -

Expert’s E normalized values for all comparisons

Expert_F_Normalized.tabEmbargoed

Nov 26, 2025 - Dataset for Analysis of Bioregional Development Scenarios in Latvia

Tabular Data - 11.0 KB - 6 Variables, 201 Observations -

Expert’s F normalized values for all comparisons

ReadMe.txt

Nov 26, 2025 - Dataset for Analysis of Bioregional Development Scenarios in Latvia

Plain Text - 7.8 KB -

ReadMe file

Ethics_approval_reuseLV.pdf

Nov 26, 2025 - Transcriptomes From Hepatocellular Carcinoma and Normal Liver Tissues

Adobe PDF

The file is uploaded as PDF, the original file format is EDOC. File in original format can be assessed by emailing Zanda.Daneberga@rsu.lv

This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.

Transcriptomes From Hepatocellular Carcinoma and Normal Liver Tissues

Nov 26, 2025 - Rīga Stradiņš University

Miklasevics, Edvins; Vilmanis, Janis; Daneberga, Zanda, 2019, "Transcriptomes From Hepatocellular Carcinoma and Normal Liver Tissues", https://doi.org/10.48510/FK2/00NG93

This dataset describes a specific study group. Nine patients were included in the study group, all with clinical diagnosis of hepatocellular carcinoma (HCC). The study group consisted of seven male patients and two female patients of age from 45 to 80. Patients had a single liver tumor and indications for surgery were set according to the Barcelona...

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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