121 to 130 of 141 Results
Jul 15, 2025 -
Spatial Dataset of Modified FAO Soil Unit Proportions and Climate Variables for Modelling Climate-Driven Zonal Soil Distribution
Tabular Data - 87.7 MB - 14 Variables, 2081892 Observations - UNF:6:8FD9D0qVcE1bzKpRPL2VCw==
|
Jul 15, 2025 -
Spatial Dataset of Modified FAO Soil Unit Proportions and Climate Variables for Modelling Climate-Driven Zonal Soil Distribution
Tabular Data - 87.7 MB - 14 Variables, 2081892 Observations - UNF:6:Cw27Evjl4b50iF5yB6Ckcg==
|
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==
|
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==
|
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 4, 2025 -
Datasets for European Green Deal Objective: Potential Expansion of Organic Farming Areas
Markdown Text - 8.6 KB -
MD5: 27664e00e9dfcf156c161c4ec1a4dee2
|
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 |
