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

264

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

163

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

243

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

159

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.

177

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.

157

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.

232

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

155

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.

235

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.

133

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.

125

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.

119

Download 11.43 MB

Citation Formats

TY  - DATA
AB  - 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.
AU  - Knoshaug, Eric
DB  - Open Energy Data Initiative (OEDI)
DP  - Open EI | National Renewable Energy Laboratory
DO  - 10.25984/1866103
KW  - energy
KW  - power
KW  - bioenergy
KW  - cultivation
KW  - pond water
KW  - weather
KW  - composition
KW  - algae
KW  - sot
KW  - chemistry
KW  - data
KW  - raw data
KW  - crop rotation
KW  - outdoor cultivation
KW  - algae cultivation
KW  - algae strain screening
KW  - alternative fuel
KW  - biofuel
LA  - English
DA  - 2016/09/01
PY  - 2016
PB  - National Renewable Energy Laboratory (NREL)
T1  - Development of Integrated Screening, Cultivar Optimization, and Verification Research (DISCOVR)
UR  - https://doi.org/10.25984/1866103
ER  -

Export Citation to RIS

Knoshaug, Eric. Development of Integrated Screening, Cultivar Optimization, and Verification Research (DISCOVR). National Renewable Energy Laboratory (NREL), 1 September, 2016, Open Energy Data Initiative (OEDI). https://doi.org/10.25984/1866103.

Knoshaug, E. (2016). Development of Integrated Screening, Cultivar Optimization, and Verification Research (DISCOVR). [Data set]. Open Energy Data Initiative (OEDI). National Renewable Energy Laboratory (NREL). https://doi.org/10.25984/1866103

Knoshaug, Eric. Development of Integrated Screening, Cultivar Optimization, and Verification Research (DISCOVR). National Renewable Energy Laboratory (NREL), September, 1, 2016.  Distributed by Open Energy Data Initiative (OEDI). https://doi.org/10.25984/1866103

@misc{OEDI_Dataset_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.},
url = {https://data.openei.org/submissions/5693},
year = {2016},
howpublished = {Open Energy Data Initiative (OEDI), National Renewable Energy Laboratory (NREL), https://doi.org/10.25984/1866103},
note = {Accessed: 2025-05-10},
doi = {10.25984/1866103}
}

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