Related Datasets

Development of Integrated Screening, Cultivar Optimization, and Verification Research (DISCOVR)

DOI 10.25984/1866103

Publicly accessible License

The objective of the DISCOVR consortia is to develop an integrated algae strain screening platform for the discovery of high-productivity and resilient strains of algae that can be cultivated outdoors year-round via crop rotation. The data includes annual weather data, algae cultivation composition data, and pond water chemistry data between 2018 and 2021. This year-over-year cultivation data provides the underlying data in direct support of the annual State of Technology (SOT) analysis effort. These field experimental data and SOT reports are of interest to the U.S. Department of Energys (DOE) Energy Efficiency and Renewable Energys (EERE) Bioenergy Technologies office (BETO) in understanding current best algae agronomic practices in demonstrating progress towards future algae biomass productivity goals as outlined in the BETO Multi-Year Program Plan.

Download All Resources 118.08 MB — 12 files

DISCOVR SOT Cultivation Composition 2018.csv

Algae cultivation composition from 2018. The algae cultivation data is composed of metrics used to track algae growth and understand how well growth is going. These inc... more

213

Download 1.54 MB

DISCOVR SOT Cultivation Composition 2019.csv

Algae cultivation composition from 2019. The algae cultivation data is composed of metrics used to track algae growth and understand how well growth is going. These inc... more

117

Download 2.09 MB

DISCOVR SOT Cultivation Composition 2020.csv

Algae cultivation composition from 2020. The algae cultivation data is composed of metrics used to track algae growth and understand how well growth is going. These inc... more

205

Download 3.17 MB

DISCOVR SOT Cultivation Composition 2021.csv

Algae cultivation composition from 2021. The algae cultivation data is composed of metrics used to track algae growth and understand how well growth is going. These inc... more

115

Download 1.14 MB

DISCOVR SOT Weather 2018.csv

Weather data for 2018. Weather measurements were taken between 10-19-2016 and 7-17-2018.

123

Download 4.18 MB

DISCOVR SOT Weather 2019.csv

Weather data for 2019. Weather measurements were taken between 9-27-2018 and 9-9-2019.

102

Download 8.52 MB

DISCOVR SOT Weather 2020.csv

Weather data for 2020. Weather measurements were taken between 8-26-2019 and 10-31-2020.

179

Download 15.4 MB

DISCOVR SOT Weather 2021.csv

Weather data for 2021. Weather measurements were taken in five minute intervals between 9-14-2020 and 5-31-2021. Note that rows 1 through 26425 show dates 3-1-21 throug... more

Download 12.81 MB

DISCOVR SOT YSI 2018.csv

Pond water chemistry data from 2018. Data shows metrics such as pH, temperature, conductivity, ect. for the ponds.

178

Download 12.41 MB

DISCOVR SOT YSI 2019.csv

Pond water chemistry data from 2019. Data shows metrics such as pH, temperature, conductivity, ect. for the ponds.

Download 15.09 MB

DISCOVR SOT YSI 2020.csv

Pond water chemistry data from 2020. Data shows metrics such as pH, temperature, conductivity, ect. for the ponds.

Download 30.29 MB

DISCOVR SOT YSI 2021.csv

Pond water chemistry data from 2021. Data shows metrics such as pH, temperature, conductivity, ect. for the ponds.

Download 11.43 MB

Citation Formats

National Renewable Energy Laboratory (NREL). (2016). Development of Integrated Screening, Cultivar Optimization, and Verification Research (DISCOVR) [data set].  Retrieved from https://dx.doi.org/10.25984/1866103.

Export Citation to RIS

Knoshaug, Eric. Development of Integrated Screening, Cultivar Optimization, and Verification Research (DISCOVR). United States: N.p., 01 Sep, 2016. Web. doi: 10.25984/1866103.

Knoshaug, Eric. Development of Integrated Screening, Cultivar Optimization, and Verification Research (DISCOVR). United States. https://dx.doi.org/10.25984/1866103

Knoshaug, Eric. 2016. "Development of Integrated Screening, Cultivar Optimization, and Verification Research (DISCOVR)". United States. https://dx.doi.org/10.25984/1866103. https://data.openei.org/submissions/5693.

@div{oedi_5693, title = {Development of Integrated Screening, Cultivar Optimization, and Verification Research (DISCOVR)}, author = {Knoshaug, Eric.}, abstractNote = {The objective of the DISCOVR consortia is to develop an integrated algae strain screening platform for the discovery of high-productivity and resilient strains of algae that can be cultivated outdoors year-round via crop rotation. The data includes annual weather data, algae cultivation composition data, and pond water chemistry data between 2018 and 2021. This year-over-year cultivation data provides the underlying data in direct support of the annual State of Technology (SOT) analysis effort. These field experimental data and SOT reports are of interest to the U.S. Department of Energys (DOE) Energy Efficiency and Renewable Energys (EERE) Bioenergy Technologies office (BETO) in understanding current best algae agronomic practices in demonstrating progress towards future algae biomass productivity goals as outlined in the BETO Multi-Year Program Plan.}, doi = {10.25984/1866103}, url = {https://data.openei.org/submissions/5693}, journal = {}, number = , volume = , place = {United States}, year = {2016}, month = {09}}

https://dx.doi.org/10.25984/1866103

Details

Data from Sep 1, 2016

Last updated Jun 16, 2022

Submitted Apr 1, 2022

Organization

National Renewable Energy Laboratory (NREL)

Contact

Eric Knoshaug

Authors

Eric Knoshaug

National Renewable Energy Laboratory NREL

Research Areas

Bioenergy

Keywords

energy, power, bioenergy, cultivation, pond water, weather, composition, algae, sot, chemistry, data, raw data, crop rotation, outdoor cultivation, algae cultivation, algae strain screening, alternative fuel, biofuel

DOE Project Details

Project Name DISCOVR

Project Number FY19 AOP 1.3.1.505