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Publication Status: Published

2,651 to 2,660 of 9,729 Results

2_LULC_IvoryCoast_Bouake_2020_readme.txt May 24, 2024 - Land use land cover ultra-high-spatial-resolution digital maps (5-cm) for 4 urban districts of the city of Bouaké (Air France, Belleville, Koko, Sossoribougou), center Côte d'Ivoire, 2020 Plain Text - 3.6 KB - MD5: 92cda516b4a2d7729660deef3b843226 Documentation Dataset citation and description
Climate data rescue of Vietnam, Cambodia and Laos May 23, 2024Vietnam Accronyme : Climate Data Rescue This database brings together in a single data warehouse all the meteorological data produced during the colonial period in Vietnam, Cambodia and Laos by the French Navy and military hospitals at the end of the 19th century, and by the Indochina Me...
Measuring Amazon rainfall intensity with sound recorders: data and code May 21, 2024 - UMR GET Xavier, Rodrigo; Fleischmann, Ayan; Gosset, Marielle; Maciel, Tarcísio; Do Nascimento, Leandro; Ramalho, Emiliano; Bicudo, Thiago, 2023, "Measuring Amazon rainfall intensity with sound recorders: data and code", https://doi.org/10.23708/I0QYNM, DataSuds, V2, UNF:6:cXAvk8vWVI++coJPWKSnaA== [fileUNF] Many regions still lack a network of ground weather observations, hampering effective climate monitoring and disaster management. In the Amazon basin, this occurs due to its remoteness and the challenging measurement of rainfall within the forest. Innovative rainfall estimation m...
psds_chavascal.tab May 21, 2024 - Measuring Amazon rainfall intensity with sound recorders: data and code Tabular Data - 15.9 MB - 517 Variables, 3027 Observations - UNF:6:am6cSO1jVKdN5mqReymvHA== Data Test dataset
psds_low_varzea.tab May 21, 2024 - Measuring Amazon rainfall intensity with sound recorders: data and code Tabular Data - 32.4 MB - 517 Variables, 6308 Observations - UNF:6:IL4rv/Alts6mLKH6QrEMRA== Data Test dataset
psds_training.tab May 21, 2024 - Measuring Amazon rainfall intensity with sound recorders: data and code Tabular Data - 363.7 MB - 516 Variables, 48208 Observations - UNF:6:jTD/itqKxc5wvbFtqhf0Gg== Data Data used for training the models
sound_of_rainfall_Amazon_ReadMe.pdf May 21, 2024 - Measuring Amazon rainfall intensity with sound recorders: data and code Adobe PDF - 28.2 KB - MD5: 5a4a82a66d96b19d45701029d0e15e8a Documentation Dataset citation, description and terms of use
sound_of_rainfall.ipynb May 21, 2024 - Measuring Amazon rainfall intensity with sound recorders: data and code Jupyter Notebook - 270.6 KB - MD5: 85a560f15d345d32ff0f0ec57edebb50 Code Jupyter Notebook
High throughput genetic diversity analyses of neglected crops: training data, codes and materials (Africa) May 16, 2024 - DYNADIV Team Barnaud, Adeline; Veltman, Margaretha; Kaczmarek, Thomas; Argout, Xavier; Vigouroux, Yves; Berthouly-Salazar, Cecile; Billot, Claire, 2024, "High throughput genetic diversity analyses of neglected crops: training data, codes and materials (Africa)", https://doi.org/10.23708/ETC16I, DataSuds, V1, UNF:6:ON0wb/ZYjxl4qqjnr8NEPA== [fileUNF] Marginal land is land that is of little agricultural value because crops produced there would be worth less than any rent paid for access to the area. Helping to develop such zones in Africa is a key goal for the EU-funded EWA-BELT project. The aim is to promote the sustainable i...
0_ReadMe.txt May 16, 2024 - High throughput genetic diversity analyses of neglected crops: training data, codes and materials (Africa) Plain Text - 2.1 KB - MD5: 0ad59fd46069aaec2008347fc45ec2ce Documentation Dataset citation, description and terms of use.

2_LULC_IvoryCoast_Bouake_2020_readme.txt

May 24, 2024 - Land use land cover ultra-high-spatial-resolution digital maps (5-cm) for 4 urban districts of the city of Bouaké (Air France, Belleville, Koko, Sossoribougou), center Côte d'Ivoire, 2020

Plain Text - 3.6 KB -

Documentation

Dataset citation and description

Climate data rescue of Vietnam, Cambodia and Laos

May 23, 2024Vietnam

Accronyme : Climate Data Rescue This database brings together in a single data warehouse all the meteorological data produced during the colonial period in Vietnam, Cambodia and Laos by the French Navy and military hospitals at the end of the 19th century, and by the Indochina Me...

Measuring Amazon rainfall intensity with sound recorders: data and code

May 21, 2024 - UMR GET

Xavier, Rodrigo; Fleischmann, Ayan; Gosset, Marielle; Maciel, Tarcísio; Do Nascimento, Leandro; Ramalho, Emiliano; Bicudo, Thiago, 2023, "Measuring Amazon rainfall intensity with sound recorders: data and code", https://doi.org/10.23708/I0QYNM, DataSuds, V2, UNF:6:cXAvk8vWVI++coJPWKSnaA== [fileUNF]

Many regions still lack a network of ground weather observations, hampering effective climate monitoring and disaster management. In the Amazon basin, this occurs due to its remoteness and the challenging measurement of rainfall within the forest. Innovative rainfall estimation m...

psds_chavascal.tab

May 21, 2024 - Measuring Amazon rainfall intensity with sound recorders: data and code

Tabular Data - 15.9 MB - 517 Variables, 3027 Observations -

Data

Test dataset

psds_low_varzea.tab

May 21, 2024 - Measuring Amazon rainfall intensity with sound recorders: data and code

Tabular Data - 32.4 MB - 517 Variables, 6308 Observations -

Data

Test dataset

psds_training.tab

May 21, 2024 - Measuring Amazon rainfall intensity with sound recorders: data and code

Tabular Data - 363.7 MB - 516 Variables, 48208 Observations -

Data

Data used for training the models

sound_of_rainfall_Amazon_ReadMe.pdf

May 21, 2024 - Measuring Amazon rainfall intensity with sound recorders: data and code

Adobe PDF - 28.2 KB -

Documentation

Dataset citation, description and terms of use

sound_of_rainfall.ipynb

May 21, 2024 - Measuring Amazon rainfall intensity with sound recorders: data and code

Jupyter Notebook - 270.6 KB -

Code

Jupyter Notebook

High throughput genetic diversity analyses of neglected crops: training data, codes and materials (Africa)

May 16, 2024 - DYNADIV Team

Barnaud, Adeline; Veltman, Margaretha; Kaczmarek, Thomas; Argout, Xavier; Vigouroux, Yves; Berthouly-Salazar, Cecile; Billot, Claire, 2024, "High throughput genetic diversity analyses of neglected crops: training data, codes and materials (Africa)", https://doi.org/10.23708/ETC16I, DataSuds, V1, UNF:6:ON0wb/ZYjxl4qqjnr8NEPA== [fileUNF]

Marginal land is land that is of little agricultural value because crops produced there would be worth less than any rent paid for access to the area. Helping to develop such zones in Africa is a key goal for the EU-funded EWA-BELT project. The aim is to promote the sustainable i...

0_ReadMe.txt

May 16, 2024 - High throughput genetic diversity analyses of neglected crops: training data, codes and materials (Africa)

Plain Text - 2.1 KB -

Documentation

Dataset citation, description and terms of use.

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