Development of Integrated Screening, Cultivar Optimization, and Verification Research (DISCOVR)
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.
Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"019:20"
]
|
| contactPoint |
{
"fn": "Eric Knoshaug",
"@type": "vcard:Contact",
"hasEmail": "mailto:eric.knoshaug@nrel.gov"
}
|
| dataQuality |
true
|
| description | 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. |
| distribution |
[
{
"@type": "dcat:Distribution",
"title": "DISCOVR SOT Cultivation Composition 2018.csv",
"format": "csv",
"mediaType": "text/csv",
"description": "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 include such things as biology metrics of the algae itself such as AFDW, optical density, productivity, and lipid, carbohydrate, protein, and ash content. Also includes things such as nutrients, and operational metrics such as what even occurred (e. g. inoculation, harvest, final, crash, etc.), density at harvest, pond depth, etc.",
"downloadURL": "https://data.openei.org/files/5693/DISCOVR_SOT_cultivation-composition_2018.csv"
},
{
"@type": "dcat:Distribution",
"title": "DISCOVR SOT Cultivation Composition 2019.csv",
"format": "csv",
"mediaType": "text/csv",
"description": "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 include such things as biology metrics of the algae itself such as AFDW, optical density, productivity, and lipid, carbohydrate, protein, and ash content. Also includes things such as nutrients, and operational metrics such as what even occurred (e. g. inoculation, harvest, final, crash, etc.), density at harvest, pond depth, etc.",
"downloadURL": "https://data.openei.org/files/5693/DISCOVR_SOT_cultivation-composition_2019.csv"
},
{
"@type": "dcat:Distribution",
"title": "DISCOVR SOT Cultivation Composition 2020.csv",
"format": "csv",
"mediaType": "text/csv",
"description": "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 include such things as biology metrics of the algae itself such as AFDW, optical density, productivity, and lipid, carbohydrate, protein, and ash content. Also includes things such as nutrients, and operational metrics such as what even occurred (e. g. inoculation, harvest, final, crash, etc.), density at harvest, pond depth, etc.",
"downloadURL": "https://data.openei.org/files/5693/DISCOVR_SOT_cultivation-composition_2020.csv"
},
{
"@type": "dcat:Distribution",
"title": "DISCOVR SOT Cultivation Composition 2021.csv",
"format": "csv",
"mediaType": "text/csv",
"description": "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 include such things as biology metrics of the algae itself such as AFDW, optical density, productivity, and lipid, carbohydrate, protein, and ash content. Also includes things such as nutrients, and operational metrics such as what even occurred (e. g. inoculation, harvest, final, crash, etc.), density at harvest, pond depth, etc.",
"downloadURL": "https://data.openei.org/files/5693/DISCOVR_SOT_cultivation-composition_2021.csv"
},
{
"@type": "dcat:Distribution",
"title": "DISCOVR SOT YSI 2018.csv",
"format": "csv",
"mediaType": "text/csv",
"description": "Pond water chemistry data from 2018. Data shows metrics such as pH, temperature, conductivity, ect. for the ponds.",
"downloadURL": "https://data.openei.org/files/5693/DISCOVR_SOT_YSI_2018.csv"
},
{
"@type": "dcat:Distribution",
"title": "DISCOVR SOT YSI 2019.csv",
"format": "csv",
"mediaType": "text/csv",
"description": "Pond water chemistry data from 2019. Data shows metrics such as pH, temperature, conductivity, ect. for the ponds.",
"downloadURL": "https://data.openei.org/files/5693/DISCOVR_SOT_YSI_2019.csv"
},
{
"@type": "dcat:Distribution",
"title": "DISCOVR SOT YSI 2020.csv",
"format": "csv",
"mediaType": "text/csv",
"description": "Pond water chemistry data from 2020. Data shows metrics such as pH, temperature, conductivity, ect. for the ponds.",
"downloadURL": "https://data.openei.org/files/5693/DISCOVR_SOT_YSI_2020.csv"
},
{
"@type": "dcat:Distribution",
"title": "DISCOVR SOT YSI 2021.csv",
"format": "csv",
"mediaType": "text/csv",
"description": "Pond water chemistry data from 2021. Data shows metrics such as pH, temperature, conductivity, ect. for the ponds.",
"downloadURL": "https://data.openei.org/files/5693/DISCOVR_SOT_YSI_2021.csv"
},
{
"@type": "dcat:Distribution",
"title": "DISCOVR SOT Weather 2018.csv",
"format": "csv",
"mediaType": "text/csv",
"description": "Weather data for 2018. Weather measurements were taken between 10-19-2016 and 7-17-2018.",
"downloadURL": "https://data.openei.org/files/5693/DISCOVR_SOT_weather_2018.csv"
},
{
"@type": "dcat:Distribution",
"title": "DISCOVR SOT Weather 2019.csv",
"format": "csv",
"mediaType": "text/csv",
"description": "Weather data for 2019. Weather measurements were taken between 9-27-2018 and 9-9-2019.",
"downloadURL": "https://data.openei.org/files/5693/DISCOVR_SOT_weather_2019.csv"
},
{
"@type": "dcat:Distribution",
"title": "DISCOVR SOT Weather 2020.csv",
"format": "csv",
"mediaType": "text/csv",
"description": "Weather data for 2020. Weather measurements were taken between 8-26-2019 and 10-31-2020.",
"downloadURL": "https://data.openei.org/files/5693/DISCOVR_SOT_weather_2020.csv"
},
{
"@type": "dcat:Distribution",
"title": "DISCOVR SOT Weather 2021.csv",
"format": "csv",
"mediaType": "text/csv",
"description": "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 through 5-31-2021 and rows 26426 through 0 show dates 9-14-2020 through 10-30-2020.",
"downloadURL": "https://data.openei.org/files/5693/DISCOVR_SOT_weather_2021.csv"
}
]
|
| DOI | 10.25984/1866103 |
| identifier | https://data.openei.org/submissions/5693 |
| issued | 2016-09-01T06:00:00Z |
| keyword |
[
"algae",
"algae cultivation",
"algae strain screening",
"alternative fuel",
"bioenergy",
"biofuel",
"chemistry",
"composition",
"crop rotation",
"cultivation",
"data",
"energy",
"outdoor cultivation",
"pond water",
"power",
"raw data",
"sot",
"weather"
]
|
| landingPage | https://data.openei.org/submissions/5693 |
| license | https://creativecommons.org/licenses/by/4.0/ |
| modified | 2022-06-16T14:57:20Z |
| programCode |
[
"019:005"
]
|
| projectNumber | FY19 AOP 1.3.1.505 |
| projectTitle | DISCOVR |
| publisher |
{
"name": "National Renewable Energy Laboratory (NREL)",
"@type": "org:Organization"
}
|
| spatial |
"{"type":"Polygon","coordinates":[[[-167.7267,13.518],[-53.8316,13.518],[-53.8316,75.0714],[-167.7267,75.0714],[-167.7267,13.518]]]}"
|
| title | Development of Integrated Screening, Cultivar Optimization, and Verification Research (DISCOVR) |
