711 to 720 of 926 Results
                
                
                Tabular Data - 6.6 KB - 25 Variables, 67 Observations - UNF:6:HSxEScUjwYungyrHcg4SLA==
                         Escherichia coli, stanol, and total suspended sediment concentrations at the outlet of the station BLS
 | 
Tabular Data - 2.0 KB - 4 Variables, 25 Observations - UNF:6:i9wkVl1L1JcTftltKiN+hw==
                         Data dictionary | 
                        
                        Mar 22, 2024 - UMR LEMAR
                         Sané, Babacar; Diouf, Malick; Jean, Fréderic; Kerhervé, Malika; Flye-Sainte-Marie, Jonathan; Houmenou, Abdou Karim; Thomas, Yoann, 2024, "Gonad histological analysis of Senilia senilis sampled in the Sine Saloum inverse estuary in Senegal between march 2021 and march 2022", https://doi.org/10.23708/VQHAZB, DataSuds, V1, UNF:6:F8uDwbq/ISTm9wrdeI/tgg== [fileUNF]
                         Understanding the reproductive biology of a species is an important means of determining the renewal capacity of natural stocks, especially in the case of heavily exploited species. It is a fundamental element in supporting the implementation of management measures. Here, we stud... | 
Mar 22, 2024 - 
                            Gonad histological analysis of Senilia senilis sampled in the Sine Saloum inverse estuary in Senegal between march 2021 and march 2022
                         
                        Plain Text - 1.7 KB - 
                                MD5: b8581b9e3e22d8c19c11fe94458f8d8d
                                
                         ReadMe file - data citation, description and terms of use. | 
Mar 22, 2024 - 
                            Gonad histological analysis of Senilia senilis sampled in the Sine Saloum inverse estuary in Senegal between march 2021 and march 2022
                         
                        Tabular Data - 1.7 KB - 3 Variables, 15 Observations - UNF:6:jvEMc6hHv2E7/D2x7asaKQ==
                         Data dictionary | 
Mar 22, 2024 - 
                            Gonad histological analysis of Senilia senilis sampled in the Sine Saloum inverse estuary in Senegal between march 2021 and march 2022
                         
                        Tabular Data - 23.7 KB - 15 Variables, 200 Observations - UNF:6:MEN4Up4jbYyjPMDHIAKVKw==
                         Histological analysis data for Senilia senilis in Senegal (2021-2022). | 
                        
                        Mar 18, 2024 - UMR AMAP
                         Rodda, Suraj Reddy; Fararoda, Rakesh; Jha, Nidhi; Réjou-Méchain, Maxime; Couteron, Pierre; Gopalakrishnan, Rajashekar; Barbier, Nicolas; Alfonso, Alonso; Bako, Ousmane; Bassama, Patrick; Behera, Debabrata; Bissiengou, Pulcherie; Biyiha, Hervé; Brockelman Y., Warren; Chanthorn, Wirong; Chauhan, Prakash; Dadhwal, Vinay Kumar; Dauby, Gilles; Deblauwe, Vincent; Dongmo, Narcis; Droissart, Vincent; Jeyakumar, Selvaraj; Jha, Chandra Shekar; Kandem, Narcisse Guy; Katembo, John; Kougue, Ronald; Leblanc, Hugo; Lewis, Simon; Libalah, Moses; Manikandan, Maya; Martin-Ducup, Olivier; Mbock, Germain; Memiaghe, Hervé; Mofack, Gislain; Mutyala, Praveen; Narayanan, Ayyappan; Nathalang, Anuttara; Oum Ndjock, Gilbert; Ngoula, Fernandez; Nidamanuri, Rama Rao; Pélissier, Raphaël; Saatchi, Sassan; Sagang, Le Bienfaiteur; Salla, Patrick; Simo-Droissart, Murielle; B. Smith, Thomas; Sonké, Bonaventure; Stevart, Tariq; Tjomb, Danièle; Zebaze, Donatien; Zemagho, Lise; Ploton, Pierre, 2024, "South Asian and Central African maps from: LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa", https://doi.org/10.23708/H2MHXF, DataSuds, V2, UNF:6:pUYwyUIpsRWmCnpBju2KxQ== [fileUNF]
                         The dataset contains forest aboveground biomass prediction maps derived from field inventory plot and UAV or airborne LiDAR data over five sites in South Asia and eight sites in Central Africa, together with prediction uncertainty maps. Maps are provided at 100 x 100 m and 40 x 4... | 
TIFF Image - 106.7 KB - 
                                MD5: 7f2634def50f17fc40ca6762870e307b
                                
                          | 
TIFF Image - 670.4 KB - 
                                MD5: f1f6a2ea43f65b250bd8bfdde282678e
                                
                          | 
TIFF Image - 117.3 KB - 
                                MD5: 05120b73f75864f23b3b077cbedd5ec7
                                
                          | 
