The herbarium, which was established in 2019, is focused on the flora of Azad Kashmir and northern Pakistan. This floristically rich region encompasses subtropical, temperate, and alpine floras.

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Titel: Keyserlicke statvyten, ordonnantien, costumen, ende gewoonten, ende bysonder elcker stadt rechten, principalijck den keyserlicken landen aengaende Publisher: Hillebrant Jacobsz Place: ‘s-Gravenhage Year: 1620 Used version: The copy we used for the transcriptions is held at Leiden University Library and digitised by the KB National Library of the Netherlands. Link digitised version of the book: https://books.google.nl/books?vid=KBNL:UBL000034544&redir_esc=y (Main) Language: Dutch. Province: Low Countries Font: Roman. Model used: Dutch_Romantype_Print. Version of Transkribus used: v.1.9.1. Other info: Abbyy...

Titel: Keyserlicke statvyten, ordonnantien, costumen, ende gewoonten, ende bysonder elcker stadt rechten, principalijck den keyserlicken landen aengaende Publisher: Hillebrant Jacobsz Place: ‘s-Gravenhage Year: 1620 Used version: The copy we used for the transcriptions is held at Leiden University Library and digitised by the KB National Library of the Netherlands. Link digitised version of the book: https://books.google.nl/books?vid=KBNL:UBL000034544&redir_esc=y (Main) Language: Dutch. Province: Low Countries Font: Roman. Model used: Dutch_Romantype_Print. Version of Transkribus used: v.1.9.1. Other info: Abbyy...

Prediction map of soil sand fraction 1000 m spatial resolution derived from datasets of the AfSIS project. For Standard depth interval sd6: 100-200 cm and resampled to a 1000m x 1000m grid resolution of Albers Equal Area Map projection+proj=aea +lat_1=-22 +lat_2=-38 +lat_0=-30 +lon_0=25 +x_0=1400000 +y_0=1300000 +datum=WGS84 +units=m +no_defs

Prediction map of soil sand fraction 1000 m spatial resolution derived from datasets of the AfSIS project. For Standard depth interval sd6: 100-200 cm and resampled to a 1000m x 1000m grid resolution of Albers Equal Area Map projection+proj=aea +lat_1=-22 +lat_2=-38 +lat_0=-30 +lon_0=25 +x_0=1400000 +y_0=1300000 +datum=WGS84 +units=m +no_defs

Prediction map of soil sand fraction 1000 m spatial resolution derived from datasets of the AfSIS project. For Standard depth interval sd6: 100-200 cm and resampled to a 1000m x 1000m grid resolution of Albers Equal Area Map projection+proj=aea +lat_1=-22 +lat_2=-38 +lat_0=-30 +lon_0=25 +x_0=1400000 +y_0=1300000 +datum=WGS84 +units=m +no_defs

Prediction map of soil sand fraction 1000 m spatial resolution derived from datasets of the AfSIS project. For Standard depth interval sd6: 100-200 cm and resampled to a 1000m x 1000m grid resolution of Albers Equal Area Map projection+proj=aea +lat_1=-22 +lat_2=-38 +lat_0=-30 +lon_0=25 +x_0=1400000 +y_0=1300000 +datum=WGS84 +units=m +no_defs

Prediction map of soil sand fraction 1000 m spatial resolution derived from datasets of the AfSIS project. For Standard depth interval sd6: 100-200 cm and resampled to a 1000m x 1000m grid resolution of Albers Equal Area Map projection+proj=aea +lat_1=-22 +lat_2=-38 +lat_0=-30 +lon_0=25 +x_0=1400000 +y_0=1300000 +datum=WGS84 +units=m +no_defs

Prediction map of soil silt fraction 1000 m spatial resolution derived from datasets of the AfSIS project. For Standard depth interval sd6: 100-200 cm and resampled to a 1000m x 1000m grid resolution of Albers Equal Area Map projection+proj=aea +lat_1=-22 +lat_2=-38 +lat_0=-30 +lon_0=25 +x_0=1400000 +y_0=1300000 +datum=WGS84 +units=m +no_defs

Prediction map of soil silt fraction 1000 m spatial resolution derived from datasets of the AfSIS project. For Standard depth interval sd5: 60-100 cm and resampled to a 1000m x 1000m grid resolution of Albers Equal Area Map projection+proj=aea +lat_1=-22 +lat_2=-38 +lat_0=-30 +lon_0=25 +x_0=1400000 +y_0=1300000 +datum=WGS84 +units=m +no_defs

Prediction map of soil silt fraction 1000 m spatial resolution derived from datasets of the AfSIS project. For Standard depth interval sd4: 30-60 cm and resampled to a 1000m x 1000m grid resolution of Albers Equal Area Map projection+proj=aea +lat_1=-22 +lat_2=-38 +lat_0=-30 +lon_0=25 +x_0=1400000 +y_0=1300000 +datum=WGS84 +units=m +no_defs

Prediction map of soil silt fraction 1000 m spatial resolution derived from datasets of the AfSIS project. For Standard depth interval sd3: 15-30 cm and resampled to a 1000m x 1000m grid resolution of Albers Equal Area Map projection+proj=aea +lat_1=-22 +lat_2=-38 +lat_0=-30 +lon_0=25 +x_0=1400000 +y_0=1300000 +datum=WGS84 +units=m +no_defs

Prediction map of soil silt fraction 1000 m spatial resolution derived from datasets of the AfSIS project. For Standard depth interval sd2: 5-15 cm and resampled to a 1000m x 1000m grid resolution of Albers Equal Area Map projection+proj=aea +lat_1=-22 +lat_2=-38 +lat_0=-30 +lon_0=25 +x_0=1400000 +y_0=1300000 +datum=WGS84 +units=m +no_defs

Prediction map of soil clay fraction 1000 m spatial resolution derived from datasets of the AfSIS project. For Standard depth interval sd1: 0-5 cm and resampled to a 1000m x 1000m grid resolution of Albers Equal Area Map projection+proj=aea +lat_1=-22 +lat_2=-38 +lat_0=-30 +lon_0=25 +x_0=1400000 +y_0=1300000 +datum=WGS84 +units=m +no_defs

Prediction map of soil clay fraction 1000 m spatial resolution derived from datasets of the AfSIS project. For Standard depth interval sd6: 100-200 cm and resampled to a 1000m x 1000m grid resolution of Albers Equal Area Map projection+proj=aea +lat_1=-22 +lat_2=-38 +lat_0=-30 +lon_0=25 +x_0=1400000 +y_0=1300000 +datum=WGS84 +units=m +no_defs

Prediction map of soil clay fraction 1000 m spatial resolution derived from datasets of the AfSIS project. For Standard depth interval sd5: 60-100 cm and resampled to a 1000m x 1000m grid resolution of Albers Equal Area Map projection+proj=aea +lat_1=-22 +lat_2=-38 +lat_0=-30 +lon_0=25 +x_0=1400000 +y_0=1300000 +datum=WGS84 +units=m +no_defs

Prediction map of soil clay fraction 1000 m spatial resolution derived from datasets of the AfSIS project. For Standard depth interval sd4: 30-60 cm and resampled to a 1000m x 1000m grid resolution of Albers Equal Area Map projection+proj=aea +lat_1=-22 +lat_2=-38 +lat_0=-30 +lon_0=25 +x_0=1400000 +y_0=1300000 +datum=WGS84 +units=m +no_defs

Prediction map of soil clay fraction 1000 m spatial resolution derived from datasets of the AfSIS project. For Standard depth interval sd3: 15-30 cm and resampled to a 1000m x 1000m grid resolution of Albers Equal Area Map projection+proj=aea +lat_1=-22 +lat_2=-38 +lat_0=-30 +lon_0=25 +x_0=1400000 +y_0=1300000 +datum=WGS84 +units=m +no_defs

Prediction map of soil clay fraction 1000 m spatial resolution derived from datasets of the AfSIS project. For Standard depth interval sd2: 5-15 cm and resampled to a 1000m x 1000m grid resolution of Albers Equal Area Map projection+proj=aea +lat_1=-22 +lat_2=-38 +lat_0=-30 +lon_0=25 +x_0=1400000 +y_0=1300000 +datum=WGS84 +units=m +no_defs

Prediction map of soil clay fraction 1000 m spatial resolution derived from datasets of the AfSIS project. For Standard depth interval sd1: 0-5 cm and resampled to a 1000m x 1000m grid resolution of Albers Equal Area Map projection+proj=aea +lat_1=-22 +lat_2=-38 +lat_0=-30 +lon_0=25 +x_0=1400000 +y_0=1300000 +datum=WGS84 +units=m +no_defs

Raster-based land cover dataset representing the full South African landscape for the full year 2018. Derived from 20m Sentinel 2 imagery acquired between 01 January 2018 and 31 December 2018. Land cover information classes based on new Gazetted land cover standards and legend content used in 2013-14 national land cover data. All land cover and land-use classes generated using automated modelling procedures for full operational repeatability and change detection. Class 42–46 of the 2018 South...

Raster-based land cover dataset representing the full South African landscape for the full year 2018. Derived from 20m Sentinel 2 imagery acquired between 01 January 2018 and 31 December 2018. Land cover information classes based on new Gazetted land cover standards and legend content used in 2013-14 national land cover data. All land cover and land-use classes generated using automated modelling procedures for full operational repeatability and change detection. Class 47–67 of the 2018 South...

Raster-based land cover dataset representing the full South African landscape for the full year 2018. Derived from 20m Sentinel 2 imagery acquired between 01 January 2018 and 31 December 2018. Land cover information classes based on new Gazetted land cover standards and legend content used in 2013-14 national land cover data. All land cover and land-use classes generated using automated modelling procedures for full operational repeatability and change detection. Class 25–31 of the 2018 South...

Raster-based land cover dataset representing the full South African landscape for the full year 2018. Derived from 20m Sentinel 2 imagery acquired between 01 January 2018 and 31 December 2018. Land cover information classes based on new Gazetted land cover standards and legend content used in 2013-14 national land cover data. All land cover and land-use classes generated using automated modelling procedures for full operational repeatability and change detection. Class 68–72 of the 2018 South...