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Metadata Source: DataSuds

2,121 to 2,130 of 8,136 Results

Gonad histological analysis of Senilia senilis sampled in the Sine Saloum inverse estuary in Senegal between march 2021 and march 2022 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...
Gonad_histological_analysis_Senilia_senilis_Senegal_2021_2022_ReadMe.txt 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 Documentation ReadMe file - data citation, description and terms of use.
histological_analysis_Senilia senilis_Senegal_2021_2022_data_dictionary.tab 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== Documentation Data dictionary
histological_analysis_Senilia senilis_Senegal_2021_2022.tab 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== Data Histological analysis data for Senilia senilis in Senegal (2021-2022).
South Asian and Central African maps from: LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa 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...
01_Betul_AGB100.tif Mar 18, 2024 - South Asian and Central African maps from: LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa TIFF Image - 106.7 KB - MD5: 7f2634def50f17fc40ca6762870e307b Data
01_Betul_AGB40.tif Mar 18, 2024 - South Asian and Central African maps from: LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa TIFF Image - 670.4 KB - MD5: f1f6a2ea43f65b250bd8bfdde282678e Data
02_Achanakmar_AGB100.tif Mar 18, 2024 - South Asian and Central African maps from: LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa TIFF Image - 117.3 KB - MD5: 05120b73f75864f23b3b077cbedd5ec7 Data
02_Achanakmar_AGB40.tif Mar 18, 2024 - South Asian and Central African maps from: LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa TIFF Image - 735.9 KB - MD5: f9212dd5635ab4e145a6e88e91d173f6 Data
03_Yellapur_AGB100.tif Mar 18, 2024 - South Asian and Central African maps from: LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa TIFF Image - 448.3 KB - MD5: f269889b985dc74447d539f2dae0522b Data

Gonad histological analysis of Senilia senilis sampled in the Sine Saloum inverse estuary in Senegal between march 2021 and march 2022

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...

Gonad_histological_analysis_Senilia_senilis_Senegal_2021_2022_ReadMe.txt

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 -

Documentation

ReadMe file - data citation, description and terms of use.

histological_analysis_Senilia senilis_Senegal_2021_2022_data_dictionary.tab

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 -

Documentation

Data dictionary

histological_analysis_Senilia senilis_Senegal_2021_2022.tab

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 -

Data

Histological analysis data for Senilia senilis in Senegal (2021-2022).

South Asian and Central African maps from: LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa

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...

01_Betul_AGB100.tif

Mar 18, 2024 - South Asian and Central African maps from: LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa

TIFF Image - 106.7 KB -

Data

01_Betul_AGB40.tif

Mar 18, 2024 - South Asian and Central African maps from: LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa

TIFF Image - 670.4 KB -

Data

02_Achanakmar_AGB100.tif

Mar 18, 2024 - South Asian and Central African maps from: LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa

TIFF Image - 117.3 KB -

Data