991 to 1,000 of 1,130 Results
Jul 15, 2025 -
Spatial Dataset of Modified FAO Soil Unit Proportions and Climate Variables for Modelling Climate-Driven Zonal Soil Distribution
Tabular Data - 92.1 MB - 14 Variables, 2081892 Observations - UNF:6:cYc/CJJQGotyQaP/gUcULg==
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Jul 15, 2025 -
Spatial Dataset of Modified FAO Soil Unit Proportions and Climate Variables for Modelling Climate-Driven Zonal Soil Distribution
Tabular Data - 90.3 MB - 14 Variables, 2081892 Observations - UNF:6:kT/iK0kna2ktkbqQkXRUfA==
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Jul 10, 2025 -
Datasets for Antimicrobial Sales Reduction Potential in the Context of the European Green Deal
Adobe PDF - 112.4 KB -
MD5: f92ef1fd67e1cb38208e21f648a5f565
Description of indicators |
Jul 10, 2025 -
Datasets for Antimicrobial Sales Reduction Potential in the Context of the European Green Deal
Tabular Data - 791 B - 1 Variables, 28 Observations - UNF:6:FM8v1f3ppVLNu1IYIgin4Q==
Forecast and Target Period (2027-2030) dataset |
Jul 10, 2025 -
Datasets for Antimicrobial Sales Reduction Potential in the Context of the European Green Deal
Tabular Data - 799 B - 1 Variables, 28 Observations - UNF:6:EXaXLIU0WYQal7CePsn0cg==
Progress Period (2018-2022) data set |
Jul 9, 2025 - CLARIN-LV
Darģis, Roberts; Auziņa, Ilze, 2023, "Ilvars - Latvian Male VITS Text-to-Speech Model (vers. 2023)", https://hdl.handle.net/20.500.12574/89, AiLab IMCS UL
A neural model for text-to-speech (TTS) synthesis in Latvian. Trained using VITS on a 25-hour speech corpus of audiobooks read in a male voice. Available for academic and non-commercial purposes via an API. To get access to the API, please, send a request to info@ailab.lv.This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Jul 4, 2025 -
Datasets for European Green Deal Objective: Potential Expansion of Organic Farming Areas
Markdown Text - 8.6 KB -
MD5: 27664e00e9dfcf156c161c4ec1a4dee2
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Jun 3, 2025 - Social Sciences
Paura, Liga; Arhipova, Irina; Vitols, Gatis; Sproge, Sandra, 2025, "Higher education students entry characteristics and students’ dropout", https://doi.org/10.71782/DATA/X7CWTH, DataverseLV, V1, UNF:6:epIgRJdMwaIC0clTuEkhMw== [fileUNF]
The dataset was created for the purpose of predicting the dropout rate at university by identifying and detecting students at high risk of dropping out, based on their entry characteristics or the registration data of enrolled students. The dataset was collected from LBTU study centre and includes 971 bachelor students information. Data set consist... |
Markdown Text - 4.4 KB -
MD5: 1201eece5e32b7b84b8bbfbf03e8ec3f
ReadMe file |
Tabular Data - 76.5 KB - 12 Variables, 971 Observations - UNF:6:epIgRJdMwaIC0clTuEkhMw==
Students data dataset |
