cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.12818273
title: FluxDataKit v3.3: A comprehensive data set of ecosystem fluxes for land surface modelling

description: The Flux data kit is an effort to expand upon the existing work by Ukkola et a. (2022) to synthesize various sources of ecosystem flux data (i.e. the PLUMBER2 data set, gathered from all major networks). We further expand upon the original data set by integrating data which was either expanded upon (temporally) or where sites were added (e.g. the integration of ICOS data).

The effort uses the FluxnetLSM package by the above mentioned authors, as well as their general workflow. In contrast to the PLUMBER2 data set we do not apply stringent quality control, and all quality control on the availability of variables and/or their duration should be done by the user. Furthermore, we include both leaf area index (LAI) and Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) in the netcdf output, where PLUMBER2 only provided LAI. On all other parts the formatting and naming conventions as well as quality control specifications remain the same as in PLUMBER2. We therefore refer to Ukkola et al. (2022) for details.

Data included

The data included consists of the following files, containing different versions of the same data and site meta information.



FLUXDATAKIT_LSM.tar.gz file contains compressed NetCDF files compatible with the ALMA scheme for land surface modelling. 

FLUXDATAKIT_FLUXNET.tar.gz file contains data in a CSV format according to the FLUXNET specifications.

rsofun_driver_data_v3.3.rds file is a compressed serialized R file containing data formatted for use with the {rsofun} R package.

fdk_site_info.csv contains site meta information in tabular form

fdk_site_fullyearsequence.csv contains information about complete sequences of good-quality data by site (see also here).


Data generation

Data is generated using the FluxDataKit project. Although this project is not meant for continuous releases, and no support is provided in using this code with data provided AS IS, it might still be useful to some:

https://github.com/geco-bern/FluxDataKit

The data can be further complimented using the FluxnetEO dataset, which is accessible through the package with the same name as found here:

https://github.com/geco-bern/FluxnetEO

Acknowledgements

The flux data kit is part of the LEMONTREE project and funded by Schmidt Futures and under the umbrella of the Virtual Earth System Research Institute (VESRI).

References:



Ukkola, Anna M., Gab Abramowitz, and Martin G. De Kauwe. "A flux tower dataset tailored for land model evaluation." Earth System Science Data 14.2 (2022): 449-461.
DOI: 10.5281/zenodo.13748398
title: FluxDataKit v3.4: A comprehensive data set of ecosystem fluxes for land surface modelling

description: The Flux data kit is an effort to expand upon the existing work by Ukkola et a. (2022) to synthesize various sources of ecosystem flux data (i.e. the PLUMBER2 data set, gathered from all major networks). We further expand upon the original data set by integrating data which was either expanded upon (temporally) or where sites were added (e.g. the integration of ICOS data).

The effort uses the FluxnetLSM package by the above mentioned authors, as well as their general workflow. In contrast to the PLUMBER2 data set we do not apply stringent quality control, and all quality control on the availability of variables and/or their duration should be done by the user. Furthermore, we include both leaf area index (LAI) and Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) in the netcdf output, where PLUMBER2 only provided LAI. On all other parts the formatting and naming conventions as well as quality control specifications remain the same as in PLUMBER2. We therefore refer to Ukkola et al. (2022) for details.

Data included

The data included consists of the following files, containing different versions of the same data and site meta information.



FLUXDATAKIT_LSM.tar.gz file contains compressed NetCDF files compatible with the ALMA scheme for land surface modelling. 

FLUXDATAKIT_FLUXNET.tar.gz file contains data in a CSV format according to the FLUXNET specifications.

rsofun_driver_data_v3.3.rds file is a compressed serialized R file containing data formatted for use with the {rsofun} R package.

fdk_site_info.csv contains site meta information in tabular form

fdk_site_fullyearsequence.csv contains information about complete sequences of good-quality data by site (see also here).


Data generation

Data is generated using the FluxDataKit project. Although this project is not meant for continuous releases, and no support is provided in using this code with data provided AS IS, it might still be useful to some:

https://github.com/geco-bern/FluxDataKit

The data can be further complimented using the FluxnetEO dataset, which is accessible through the package with the same name as found here:

https://github.com/geco-bern/FluxnetEO

Acknowledgements

The flux data kit is part of the LEMONTREE project and funded by Schmidt Futures and under the umbrella of the Virtual Earth System Research Institute (VESRI).

References:



Ukkola, Anna M., Gab Abramowitz, and Martin G. De Kauwe. "A flux tower dataset tailored for land model evaluation." Earth System Science Data 14.2 (2022): 449-461.
DOI: 10.5281/zenodo.14808133
title: 11111
DOI: 10.5281/zenodo.14808134
title: 11111
DOI: 10.5281/zenodo.10885933
title: FluxDataKit v3.4.2: A comprehensive data set of ecosystem fluxes for land surface modelling

description: The Flux data kit is an effort to expand upon the existing work by Ukkola et a. (2022) to synthesize various sources of ecosystem flux data (i.e. the PLUMBER2 data set, gathered from all major networks). We further expand upon the original data set by integrating data which was either expanded upon (temporally) or where sites were added (e.g. the integration of ICOS data).

The effort uses the FluxnetLSM package by the above mentioned authors, as well as their general workflow. In contrast to the PLUMBER2 data set we do not apply stringent quality control, and all quality control on the availability of variables and/or their duration should be done by the user. Furthermore, we include both leaf area index (LAI) and Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) in the netcdf output, where PLUMBER2 only provided LAI. On all other parts the formatting and naming conventions as well as quality control specifications remain the same as in PLUMBER2. We therefore refer to Ukkola et al. (2022) for details.

Data included

The data included consists of the following files, containing different versions of the same data and site meta information.



FLUXDATAKIT_LSM.tar.gz file contains compressed NetCDF files compatible with the ALMA scheme for land surface modelling. 

FLUXDATAKIT_FLUXNET.tar.gz file contains data in a CSV format according to the FLUXNET specifications.

rsofun_driver_data_v3.3.rds file is a compressed serialized R file containing data formatted for use with the {rsofun} R package.

fdk_site_info.csv contains site meta information in tabular form

fdk_site_fullyearsequence.csv contains information about complete sequences of good-quality data by site (see also here).


Data generation

Data is generated using the FluxDataKit project. Although this project is not meant for continuous releases, and no support is provided in using this code with data provided AS IS, it might still be useful to some:

https://github.com/geco-bern/FluxDataKit

The data can be further complimented using the FluxnetEO dataset, which is accessible through the package with the same name as found here:

https://github.com/geco-bern/FluxnetEO

Acknowledgements

The flux data kit is part of the LEMONTREE project and funded by Schmidt Futures and under the umbrella of the Virtual Earth System Research Institute (VESRI).

References:



Ukkola, Anna M., Gab Abramowitz, and Martin G. De Kauwe. "A flux tower dataset tailored for land model evaluation." Earth System Science Data 14.2 (2022): 449-461.
DOI: 10.5281/zenodo.11370417
title: FluxDataKit v3.1: A comprehensive data set of ecosystem fluxes for land surface modelling

description: The Flux data kit is an effort to expand upon the existing work by Ukolla et a. (2022) to synthesize various sources of ecosystem flux data (i.e. the PLUMBER2 data set, gathered from all major networks). We further expand upon the original data set by integrating data which was either expanded upon (temporally) or where sites were added (e.g. the integration of ICOS data).

The effort uses the FluxnetLSM package by the above mentioned authors, as well as their general workflow. In contrast to the PLUMBER2 data set we do not apply stringent quality control, and all quality control on the availability of variables and/or their duration should be done by the user. Furthermore, we include both leaf area index (LAI) and Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) in the netcdf output, where PLUMBER2 only provided LAI. On all other parts the formatting and naming conventions as well as quality control specifications remain the same as in PLUMBER2. We therefore refer to Ukolla et al. (2022) for details.

Data included

The data included consists of the following files, containing different versions of the same data and site meta information.



FLUXDATAKIT_LSM.tar.gz file contains compressed NetCDF files compatible with the ALMA scheme for land surface modelling. 

FLUXDATAKIT_FLUXNET.tar.gz file contains data in a CSV format according to the FLUXNET specifications.

rsofun_driver_data_v3.1.rds file is a compressed serialized R file containing data formatted for use with the {rsofun} R package.

fdk_site_info.csv contains site meta information in tabular form

fdk_site_fullyearsequence.csv contains information about complete sequences of good-quality data by site (see also here).


Data generation

Data is generated using the FluxDataKit project. Although this project is not meant for continuous releases, and no support is provided in using this code with data provided AS IS, it might still be useful to some:

https://github.com/geco-bern/FluxDataKit

The data can be further complimented using the FluxnetEO dataset, which is accessible through the package with the same name as found here:

https://github.com/geco-bern/FluxnetEO

Acknowledgements

The flux data kit is part of the LEMONTREE project and funded by Schmidt Futures and under the umbrella of the Virtual Earth System Research Institute (VESRI).

References:



Ukkola, Anna M., Gab Abramowitz, and Martin G. De Kauwe. "A flux tower dataset tailored for land model evaluation." Earth System Science Data 14.2 (2022): 449-461.
DOI: 10.5281/zenodo.12092555
title: FluxDataKit v3.2: A comprehensive data set of ecosystem fluxes for land surface modelling

description: The Flux data kit is an effort to expand upon the existing work by Ukolla et a. (2022) to synthesize various sources of ecosystem flux data (i.e. the PLUMBER2 data set, gathered from all major networks). We further expand upon the original data set by integrating data which was either expanded upon (temporally) or where sites were added (e.g. the integration of ICOS data).

The effort uses the FluxnetLSM package by the above mentioned authors, as well as their general workflow. In contrast to the PLUMBER2 data set we do not apply stringent quality control, and all quality control on the availability of variables and/or their duration should be done by the user. Furthermore, we include both leaf area index (LAI) and Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) in the netcdf output, where PLUMBER2 only provided LAI. On all other parts the formatting and naming conventions as well as quality control specifications remain the same as in PLUMBER2. We therefore refer to Ukolla et al. (2022) for details.

Data included

The data included consists of the following files, containing different versions of the same data and site meta information.



FLUXDATAKIT_LSM.tar.gz file contains compressed NetCDF files compatible with the ALMA scheme for land surface modelling. 

FLUXDATAKIT_FLUXNET.tar.gz file contains data in a CSV format according to the FLUXNET specifications.

rsofun_driver_data_v3.2.rds file is a compressed serialized R file containing data formatted for use with the {rsofun} R package.

fdk_site_info.csv contains site meta information in tabular form

fdk_site_fullyearsequence.csv contains information about complete sequences of good-quality data by site (see also here).


Data generation

Data is generated using the FluxDataKit project. Although this project is not meant for continuous releases, and no support is provided in using this code with data provided AS IS, it might still be useful to some:

https://github.com/geco-bern/FluxDataKit

The data can be further complimented using the FluxnetEO dataset, which is accessible through the package with the same name as found here:

https://github.com/geco-bern/FluxnetEO

Acknowledgements

The flux data kit is part of the LEMONTREE project and funded by Schmidt Futures and under the umbrella of the Virtual Earth System Research Institute (VESRI).

References:



Ukkola, Anna M., Gab Abramowitz, and Martin G. De Kauwe. "A flux tower dataset tailored for land model evaluation." Earth System Science Data 14.2 (2022): 449-461.
DOI: 10.5281/zenodo.14751441
title: EnergyPlus simulation dataset for multi-objective optimization of double-skin facades

description: The dataset serves as supplementary material for the research article published in the Journal of Building Engineering, titled Optimization through Classical Design of Experiments (DOE): Investigating the Performance of Different Factorial Designs for Multi-Objective Optimization of Complex Systems. The dataset includes two files with simulation outputs corresponding to overheating and preheating conditions. Each file contains results from 178,200 simulations of various DSF configurations under specified fixed boundary conditions. The files also provide calculated performance indicators: DP (daylight performance indicator), VP (ventilation performance indicator), TP (thermal performance indicator), EP (energy performance indicator), TEP (combined thermal and energy performance indicator), and OP (overall performance indicator). For other information on the dataset, please refer to the abovementioned article.
DOI: 10.5281/zenodo.14751442
title: EnergyPlus simulation dataset for multi-objective optimization of double-skin facades

description: The dataset serves as supplementary material for the research article published in the Journal of Building Engineering, titled Optimization through Classical Design of Experiments (DOE): Investigating the Performance of Different Factorial Designs for Multi-Objective Optimization of Complex Systems. The dataset includes two files with simulation outputs corresponding to overheating and preheating conditions. Each file contains results from 178,200 simulations of various DSF configurations under specified fixed boundary conditions. The files also provide calculated performance indicators: DP (daylight performance indicator), VP (ventilation performance indicator), TP (thermal performance indicator), EP (energy performance indicator), TEP (combined thermal and energy performance indicator), and OP (overall performance indicator). For other information on the dataset, please refer to the abovementioned article.
DOI: 10.5281/zenodo.14808331
title: FluxDataKit v3.4.2: A comprehensive data set of ecosystem fluxes for land surface modelling

description: The Flux data kit is an effort to expand upon the existing work by Ukkola et a. (2022) to synthesize various sources of ecosystem flux data (i.e. the PLUMBER2 data set, gathered from all major networks). We further expand upon the original data set by integrating data which was either expanded upon (temporally) or where sites were added (e.g. the integration of ICOS data).

The effort uses the FluxnetLSM package by the above mentioned authors, as well as their general workflow. In contrast to the PLUMBER2 data set we do not apply stringent quality control, and all quality control on the availability of variables and/or their duration should be done by the user. Furthermore, we include both leaf area index (LAI) and Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) in the netcdf output, where PLUMBER2 only provided LAI. On all other parts the formatting and naming conventions as well as quality control specifications remain the same as in PLUMBER2. We therefore refer to Ukkola et al. (2022) for details.

Data included

The data included consists of the following files, containing different versions of the same data and site meta information.



FLUXDATAKIT_LSM.tar.gz file contains compressed NetCDF files compatible with the ALMA scheme for land surface modelling. 

FLUXDATAKIT_FLUXNET.tar.gz file contains data in a CSV format according to the FLUXNET specifications.

rsofun_driver_data_v3.3.rds file is a compressed serialized R file containing data formatted for use with the {rsofun} R package.

fdk_site_info.csv contains site meta information in tabular form

fdk_site_fullyearsequence.csv contains information about complete sequences of good-quality data by site (see also here).


Data generation

Data is generated using the FluxDataKit project. Although this project is not meant for continuous releases, and no support is provided in using this code with data provided AS IS, it might still be useful to some:

https://github.com/geco-bern/FluxDataKit

The data can be further complimented using the FluxnetEO dataset, which is accessible through the package with the same name as found here:

https://github.com/geco-bern/FluxnetEO

Acknowledgements

The flux data kit is part of the LEMONTREE project and funded by Schmidt Futures and under the umbrella of the Virtual Earth System Research Institute (VESRI).

References:



Ukkola, Anna M., Gab Abramowitz, and Martin G. De Kauwe. "A flux tower dataset tailored for land model evaluation." Earth System Science Data 14.2 (2022): 449-461.
DOI: 10.5281/zenodo.14802398
title: Data of the paper Impedance-Based Rapid Diagnostic Tool for Single Malaria Parasite Detection

description: In this folder you can find the data of Fig 8 and 9 of the paper Impedance-Based Rapid Diagnostic Tool for Single Malaria Parasite Detection
DOI: 10.5281/zenodo.14802399
title: Data of the paper Impedance-Based Rapid Diagnostic Tool for Single Malaria Parasite Detection

description: In this folder you can find the data of Fig 8 and 9 of the paper Impedance-Based Rapid Diagnostic Tool for Single Malaria Parasite Detection
DOI: 10.15468/dl.epb5f8
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Picardiceras picardi Parnes, 1986"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014978-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14233415
title: A Dataset of Software Bill of Materials for Evaluating SBOM Consumption Tools
DOI: 10.5281/zenodo.14808366
title: Atlas.ti Projects and Excerpts

description: Atlas.ti projects and excerpts drawn from them. Atlas.ti projects based on interviews collected and Gulag memoires.
DOI: 10.5281/zenodo.14808367
title: Atlas.ti Projects and Excerpts

description: Atlas.ti projects and excerpts drawn from them. Atlas.ti projects based on interviews collected and Gulag memoires.
DOI: 10.5281/zenodo.14233414
title: A Dataset of Software Bill of Materials for Evaluating SBOM Consumption Tools
DOI: 10.5281/zenodo.14808410
title: A Dataset of Software Bill of Materials for Evaluating SBOM Consumption Tools
DOI: 10.5281/zenodo.14515396
title: Data table for EoS OMHN(DD2Y) nparam=3

description: The data table for the EoS OMHN(DD2Y) of the family General Purpose EoS with 3 parameters 
                can be found via this link  compose.obspm.fr/eos/104 together with additional information on the EoS.
                 
                Please be aware that in particular the authors of the equation of state can be found in the references below and on the 
                Compose data base ( compose.obspm.fr/eos/104).
                Thus if you use this entry, please cite the original references together with the link to the table. We are working currently on rectifying the automatic citation from zenodo with author information on the equation of state.
                
                
                
                The online service CompOSE provides data tables for different state of the art equations of state (EoS) 
                ready for further usage in astrophysical applications, nuclear physics and beyond.
                
                
                CompOSE would not be possible without the financial and organizational support from a large number of institutions and individual
                contributors. In particular, we gratefully acknowledge support by :
                

                
CompStar, Research Networking Programs of the European Science Foundation (ESF)
                
NewCompStar, "Exploring fundamental physics with compact stars" (MPNS COST action MP1304). 
                
PHAROS, "The multi-messenger physics and astrophysics of neutron stars" within the EU framework programme (COST action CA16214).
DOI: 10.5281/zenodo.14515397
title: Data table for EoS OMHN(DD2Y) nparam=3

description: The data table for the EoS OMHN(DD2Y) of the family General Purpose EoS with 3 parameters 
                can be found via this link  "compose.obspm.fr/eos/104" together with additional information on the EoS.
                
                
                The online service CompOSE provides data tables for different state of the art equations of state (EoS) 
                ready for further usage in astrophysical applications, nuclear physics and beyond.
                
                
                CompOSE would not be possible without the financial and organizational support from a large number of institutions and individual
                contributors. In particular, we gratefully acknowledge support by :
                

                
CompStar, Research Networking Programs of the European Science Foundation (ESF)
                
NewCompStar, "Exploring fundamental physics with compact stars" (MPNS COST action MP1304). 
                
PHAROS, "The multi-messenger physics and astrophysics of neutron stars" within the EU framework programme (COST action CA16214).