Jülich DATA

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Jülich DATA is the central institutional repository for research data of Forschungszentrum Jülich.

It serves as a platform for all research data generated at Forschungszentrum Jülich or created in this context. Please feel welcome to index your research data here.

This service is managed by the Central Library. Please see our guide about how to use this service or feel free to reach out via email to forschungsdaten@fz-juelich.de.

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18,351 to 18,360 of 20,114 Results

Diurnal_winter_D2_LIFT_data.csv Mar 23, 2022 - Dataset for the Arabidopsis npq study using active and passive fluorescence and reflectance Comma Separated Values - 5.3 KB - SHA-256: 60c192bae11c89c7d748d84b00a437928c1d3114fd7f4cf5d27a31c4d0371e21
Diurnal_winter_D2_PAR_data.csv Mar 23, 2022 - Dataset for the Arabidopsis npq study using active and passive fluorescence and reflectance Comma Separated Values - 10.7 KB - SHA-256: f24cc486e70f486b98ed15fac15f856a145f4b29d17f132477b888b29943bfe3
Diurnal_winter_D2_Reflectance_data(2).csv Mar 23, 2022 - Dataset for the Arabidopsis npq study using active and passive fluorescence and reflectance Comma Separated Values - 3.7 MB - SHA-256: 5c3a965f09ce80693369e5ec69acc9076a76c65092605ce1420886a2efb5857f
Figure_11_WB.psxprj Mar 23, 2022 - Dataset for the Arabidopsis npq study using active and passive fluorescence and reflectance Unknown - 591.4 KB - SHA-256: f226b243e3e21ab60ee9c1829bbd2bb187e1e273a5c6365a07459a1c7f90f8f1
Induction_PAM_LIFT_data.csv Mar 23, 2022 - Dataset for the Arabidopsis npq study using active and passive fluorescence and reflectance Comma Separated Values - 6.4 KB - SHA-256: f7a795a80ddbc360eeb8ab096b6c14bcac46f7854ebecc26516f569c002ebaf1
Notes on deriving input values for Figure 11_NPH.docx Mar 23, 2022 - Dataset for the Arabidopsis npq study using active and passive fluorescence and reflectance MS Word - 591.3 KB - SHA-256: 7c399c27e28056be6f14c96decdee78e1bc9e874469bd74cecf6ab1e867e0b0c
R script to make main and supplementary figures.R Mar 23, 2022 - Dataset for the Arabidopsis npq study using active and passive fluorescence and reflectance R Syntax - 111.1 KB - SHA-256: 69397741abb0d78cfebf25852ebfc4061b09899809cbe682454ebd132dc084ca
Total_SIF_Spectra_data.csv Mar 23, 2022 - Dataset for the Arabidopsis npq study using active and passive fluorescence and reflectance Comma Separated Values - 16.7 KB - SHA-256: 30df6d1d696e31dccc010f2cd579f3f27fc6b8f59ce01fee416e95d62db58f01
Specim IQ Camera: Dataset for Arabidopsis Case Study Mar 22, 2022 - Institute of Bio- and Geosciences – Plant Sciences (IBG-2) Acebron, Kelvin, 2022, "Specim IQ Camera: Dataset for Arabidopsis Case Study", https://doi.org/10.26165/JUELICH-DATA/OM1JKZ, Jülich DATA, V1 Hyperspectral imaging is a technique used in plant phenotyping which can detect differences in plant traits. Information about the morphology and physiology of plants can be derived by calculating spectral ratios (Vegetation Indices) from hyperspectral datacube. Here we publish t...
2017-04-27_005.hdr Mar 22, 2022 - Specim IQ Camera: Dataset for Arabidopsis Case Study Unknown - 2.7 KB - SHA-256: eec35934d4320158880d4b57504e924899b09bc59b6101a84a691f2b2b352bad

Diurnal_winter_D2_LIFT_data.csv

Mar 23, 2022 - Dataset for the Arabidopsis npq study using active and passive fluorescence and reflectance

Comma Separated Values - 5.3 KB - SHA-256: 60c192bae11c89c7d748d84b00a437928c1d3114fd7f4cf5d27a31c4d0371e21

Diurnal_winter_D2_PAR_data.csv

Mar 23, 2022 - Dataset for the Arabidopsis npq study using active and passive fluorescence and reflectance

Comma Separated Values - 10.7 KB - SHA-256: f24cc486e70f486b98ed15fac15f856a145f4b29d17f132477b888b29943bfe3

Diurnal_winter_D2_Reflectance_data(2).csv

Mar 23, 2022 - Dataset for the Arabidopsis npq study using active and passive fluorescence and reflectance

Comma Separated Values - 3.7 MB - SHA-256: 5c3a965f09ce80693369e5ec69acc9076a76c65092605ce1420886a2efb5857f

Figure_11_WB.psxprj

Mar 23, 2022 - Dataset for the Arabidopsis npq study using active and passive fluorescence and reflectance

Unknown - 591.4 KB - SHA-256: f226b243e3e21ab60ee9c1829bbd2bb187e1e273a5c6365a07459a1c7f90f8f1

Induction_PAM_LIFT_data.csv

Mar 23, 2022 - Dataset for the Arabidopsis npq study using active and passive fluorescence and reflectance

Comma Separated Values - 6.4 KB - SHA-256: f7a795a80ddbc360eeb8ab096b6c14bcac46f7854ebecc26516f569c002ebaf1

Notes on deriving input values for Figure 11_NPH.docx

Mar 23, 2022 - Dataset for the Arabidopsis npq study using active and passive fluorescence and reflectance

MS Word - 591.3 KB - SHA-256: 7c399c27e28056be6f14c96decdee78e1bc9e874469bd74cecf6ab1e867e0b0c

R script to make main and supplementary figures.R

Mar 23, 2022 - Dataset for the Arabidopsis npq study using active and passive fluorescence and reflectance

R Syntax - 111.1 KB - SHA-256: 69397741abb0d78cfebf25852ebfc4061b09899809cbe682454ebd132dc084ca

Total_SIF_Spectra_data.csv

Mar 23, 2022 - Dataset for the Arabidopsis npq study using active and passive fluorescence and reflectance

Comma Separated Values - 16.7 KB - SHA-256: 30df6d1d696e31dccc010f2cd579f3f27fc6b8f59ce01fee416e95d62db58f01

Specim IQ Camera: Dataset for Arabidopsis Case Study

Mar 22, 2022 - Institute of Bio- and Geosciences – Plant Sciences (IBG-2)

Acebron, Kelvin, 2022, "Specim IQ Camera: Dataset for Arabidopsis Case Study", https://doi.org/10.26165/JUELICH-DATA/OM1JKZ, Jülich DATA, V1

Hyperspectral imaging is a technique used in plant phenotyping which can detect differences in plant traits. Information about the morphology and physiology of plants can be derived by calculating spectral ratios (Vegetation Indices) from hyperspectral datacube. Here we publish t...

2017-04-27_005.hdr

Mar 22, 2022 - Specim IQ Camera: Dataset for Arabidopsis Case Study

Unknown - 2.7 KB - SHA-256: eec35934d4320158880d4b57504e924899b09bc59b6101a84a691f2b2b352bad

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