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Metadata Source: DataSuds

4,491 to 4,500 of 8,388 Results

Equipe DIAL(Université Paris Dauphine, IRD, CNRS) Nov 17, 2020UMR LEDa Développement, Institutions et Mondialisation DIAL est une équipe de l’UMR 260 LEDa qui réunit des enseignants de l’université Paris-Dauphine et des chercheurs de l’IRD et du CNRS. Cette équipe compte 22 enseignants chercheurs de Paris-Dauphine, 11 chercheurs de l’IRD et 1 cherch...
ADHI_LogoAdhi.PNG Nov 17, 2020 - ADHI: African Database of Hydrometric Indices PNG Image - 333.4 KB - MD5: 4a8d3a73c41c171dd12f2a68906990cd Documentation Logo
UMR LEDa(Université Paris Dauphine, IRD, CNRS) Nov 16, 2020 Laboratoire d’Economie de Dauphine Le LEDa est une unité de recherche créée en 2009. Il regroupe l’ensemble des enseignants-chercheurs économistes de l’Université Paris Dauphine ainsi que des chercheurs IRD et CNRS. Ses recherches orientées dans le sens de l’aide à la décision co...
Map of the proportion of threatened endemic species per country in relation with environmental and socioeconomic drivers Nov 16, 2020 - UMR AMAP Pouteau, Robin; Brunel, Caroline; Dawson, Wayne; Essl, Franz; Kreft, Holger; Lenzner, Bernd; Meyer, Carsten; Pergl, Jan; Pysek, Petr; Seebens, Hanno; Weigelt, Patrick; Winter, Marten; van Kleunen, Mark, 2020, "Map of the proportion of threatened endemic species per country in relation with environmental and socioeconomic drivers", https://doi.org/10.23708/7TANIW, DataSuds, V1 This dataset is a shapefile representing the proportion of threatened endemic species (both plants and animals) in 247 countries along with associated environmental and socioeconomic drivers. The geographic coordinate system is World Geodetic System 1984 (EPSG: 4326). Information...
Appendix3.zip Nov 16, 2020 - Map of the proportion of threatened endemic species per country in relation with environmental and socioeconomic drivers Shapefile as ZIP Archive - 3.4 MB - MD5: a76296d380a5451781c19b068a18b8e4
C-band radar data and in situ measurements for the monitoring of wheat crops in a semi-arid area (center of Morocco) Nov 12, 2020 - LMI TREMA Ouaadi, Nadia; Ezzahar, Jamal; Khabba, Said; Er-Raki, Salah; Chakir, Adnane; Ait Hssaine, Bouchra; Le Dantec, Valérie; Rafi, Zoubair; Beaumont, Antoine; Kasbani, Mohamed; Jarlan, Lionel, 2020, "C-band radar data and in situ measurements for the monitoring of wheat crops in a semi-arid area (center of Morocco)", https://doi.org/10.23708/8D6WQC, DataSuds, V1, UNF:6:stTsDpvYdL0UisaKDl+l9Q== [fileUNF] This radar remote sensing database is composed of processed Sentinel-1 products in addition to field measurements of soil and vegetation (wheat). The data are collected during three years (2016-2019) on three irrigated wheat fields in the center of Morocco. The GRDH and SLC Senti...
WheatMoroccoTREMA_Database_F1.tab Nov 12, 2020 - C-band radar data and in situ measurements for the monitoring of wheat crops in a semi-arid area (center of Morocco) Tabular Data - 75.8 KB - 52 Variables, 670 Observations - UNF:6:sY/RDkKaHSLUupG6ZqcvTQ== Data The whole set of measurements (in situ soil and vegetation variables, satellite data and irrigation) on the first wheat plot
WheatMoroccoTREMA_Database_F2.tab Nov 12, 2020 - C-band radar data and in situ measurements for the monitoring of wheat crops in a semi-arid area (center of Morocco) Tabular Data - 32.5 KB - 48 Variables, 123 Observations - UNF:6:L0FNbk/WO5BD4mCnMZeoXQ== Data The whole set of measurements (in situ soil and vegetation variables, satellite data and irrigation) on the second wheat plot
WheatMoroccoTREMA_Database_F3.tab Nov 12, 2020 - C-band radar data and in situ measurements for the monitoring of wheat crops in a semi-arid area (center of Morocco) Tabular Data - 9.2 KB - 53 Variables, 33 Observations - UNF:6:rQfOL+0UcDgArbocMAzc6w== Data The whole set of measurements (in situ soil and vegetation variables, satellite data) on the third wheat plot
WheatMoroccoTREMA_Meteorological_Data.tab Nov 12, 2020 - C-band radar data and in situ measurements for the monitoring of wheat crops in a semi-arid area (center of Morocco) Tabular Data - 4.9 MB - 8 Variables, 47451 Observations - UNF:6:aSpRftpm8st1Q1Lb1WSVvQ== Data Half-hourly meteorological data collected during the period from October 2016 to June 2019

Equipe DIAL(Université Paris Dauphine, IRD, CNRS)

Nov 17, 2020UMR LEDa

Développement, Institutions et Mondialisation DIAL est une équipe de l’UMR 260 LEDa qui réunit des enseignants de l’université Paris-Dauphine et des chercheurs de l’IRD et du CNRS. Cette équipe compte 22 enseignants chercheurs de Paris-Dauphine, 11 chercheurs de l’IRD et 1 cherch...

ADHI_LogoAdhi.PNG

Nov 17, 2020 - ADHI: African Database of Hydrometric Indices

PNG Image - 333.4 KB -

Documentation

Logo

UMR LEDa(Université Paris Dauphine, IRD, CNRS)

Nov 16, 2020

Laboratoire d’Economie de Dauphine Le LEDa est une unité de recherche créée en 2009. Il regroupe l’ensemble des enseignants-chercheurs économistes de l’Université Paris Dauphine ainsi que des chercheurs IRD et CNRS. Ses recherches orientées dans le sens de l’aide à la décision co...

Map of the proportion of threatened endemic species per country in relation with environmental and socioeconomic drivers

Nov 16, 2020 - UMR AMAP

Pouteau, Robin; Brunel, Caroline; Dawson, Wayne; Essl, Franz; Kreft, Holger; Lenzner, Bernd; Meyer, Carsten; Pergl, Jan; Pysek, Petr; Seebens, Hanno; Weigelt, Patrick; Winter, Marten; van Kleunen, Mark, 2020, "Map of the proportion of threatened endemic species per country in relation with environmental and socioeconomic drivers", https://doi.org/10.23708/7TANIW, DataSuds, V1

This dataset is a shapefile representing the proportion of threatened endemic species (both plants and animals) in 247 countries along with associated environmental and socioeconomic drivers. The geographic coordinate system is World Geodetic System 1984 (EPSG: 4326). Information...

Appendix3.zip

Nov 16, 2020 - Map of the proportion of threatened endemic species per country in relation with environmental and socioeconomic drivers

Shapefile as ZIP Archive - 3.4 MB -

C-band radar data and in situ measurements for the monitoring of wheat crops in a semi-arid area (center of Morocco)

Nov 12, 2020 - LMI TREMA

Ouaadi, Nadia; Ezzahar, Jamal; Khabba, Said; Er-Raki, Salah; Chakir, Adnane; Ait Hssaine, Bouchra; Le Dantec, Valérie; Rafi, Zoubair; Beaumont, Antoine; Kasbani, Mohamed; Jarlan, Lionel, 2020, "C-band radar data and in situ measurements for the monitoring of wheat crops in a semi-arid area (center of Morocco)", https://doi.org/10.23708/8D6WQC, DataSuds, V1, UNF:6:stTsDpvYdL0UisaKDl+l9Q== [fileUNF]

This radar remote sensing database is composed of processed Sentinel-1 products in addition to field measurements of soil and vegetation (wheat). The data are collected during three years (2016-2019) on three irrigated wheat fields in the center of Morocco. The GRDH and SLC Senti...

WheatMoroccoTREMA_Database_F1.tab

Nov 12, 2020 - C-band radar data and in situ measurements for the monitoring of wheat crops in a semi-arid area (center of Morocco)

Tabular Data - 75.8 KB - 52 Variables, 670 Observations -

Data

The whole set of measurements (in situ soil and vegetation variables, satellite data and irrigation) on the first wheat plot

WheatMoroccoTREMA_Database_F2.tab

Nov 12, 2020 - C-band radar data and in situ measurements for the monitoring of wheat crops in a semi-arid area (center of Morocco)

Tabular Data - 32.5 KB - 48 Variables, 123 Observations -

Data

The whole set of measurements (in situ soil and vegetation variables, satellite data and irrigation) on the second wheat plot

WheatMoroccoTREMA_Database_F3.tab

Nov 12, 2020 - C-band radar data and in situ measurements for the monitoring of wheat crops in a semi-arid area (center of Morocco)

Tabular Data - 9.2 KB - 53 Variables, 33 Observations -

Data

The whole set of measurements (in situ soil and vegetation variables, satellite data) on the third wheat plot

WheatMoroccoTREMA_Meteorological_Data.tab

Nov 12, 2020 - C-band radar data and in situ measurements for the monitoring of wheat crops in a semi-arid area (center of Morocco)

Tabular Data - 4.9 MB - 8 Variables, 47451 Observations -

Data

Half-hourly meteorological data collected during the period from October 2016 to June 2019

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