slaclab/smurf2mce
This is the repository for "smurf2mce" developed by SLAC National Accelerator Laboratory.
Vasquez, Jesus↗
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Results for “SLAC”
Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
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slaclab/lsst-dcpdu
This is the repository for "lsst-dcpdu" developed by SLAC National Accelerator Laboratory.
Olsen, Jeff↗
slaclab/lsst-pwr-ctrl-core
This is the repository for "lsst-pwr-ctrl-core" developed by SLAC National Accelerator Laboratory.
Ruckman, Larry↗
slaclab/surf-axi-protocol-checking
This is the repository for "surf-axi-protocol-checking" developed by SLAC National Accelerator Laboratory.
Ruckman, Larry↗
slaclab/smurf-pcie
This is the repository for "smurf-pcie" developed by SLAC National Accelerator Laboratory.
Ruckman, Larry↗
slaclab/surf-dcp-targets
This is the repository for "surf-dcp-targets" developed by SLAC National Accelerator Laboratory.
Ruckman, Larry↗
LCLS-II MPS Application Node
This is the LCLS-II MPS Application Node developed by SLAC National Accelerator Laboratory.
Mock, Jeremy↗
slaclab/timetool-spatial
This is the repository for "timetool-spatial" developed by SLAC National Accelerator Laboratory.
Ruckman, Larry↗
slaclab/smurf-matlab-ioc
SLAC's Matlab support IOC Docker image for the SMuRF project.
Vasquez, Jesus↗
slaclab/epix
This is the repository for "slaclab/epix" developed by SLAC National Accelerator Laboratory.
Kwiatkowski, Maciej↗
slaclab/Keithley6482
R0.0.0: First release of PicoAmmeter 6482 driver. This moduleEPICS module allows communication with PicoAmmeter 6482: SLAC National Laboratory 2017, based on code for 6487 at Berkeley Laboratory in 2001.
Source record↗
slacgismo/advanced-load-modeling
This is the repository for "advanced-load-modeling" developed by SLAC National Accelerator Laboratory.
Nijad, Mohamed↗
HiPAS Converters
This is the repository for "HiPAS Converters" developed by SLAC National Accelerator Laboratory.
Peery, Anna↗
The MEC-U Project at LCLS
Here, we describe the Matter in Extreme Conditions Upgrade (MEC-U) project, co-locating kilojoule long pulse and high repetition rate petawatt lasers with LCLS in a new experimental hall at SLAC National Accelerator Laboratory.
46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND ↗
The LCLS-II Photo-Injector Drive Laser System
We present the new drive laser system for the photo-injector of the LCLS-II XFEL at SLAC, including the first commissioning results and challenges encountered due to high power, high repetition rate ultraviolet laser operation.
43 PARTICLE ACCELERATORS↗
Depth-resolved soil data from DOE-LM Riverton Wyoming site, April-September 2017
Averaged (from 3 to 5 replicates) and QA/QC:d data for soil cores taken roughly every month in the period April 5 to September 13 in 2017 at a location close to DOE Legacy Management well 855 at the Riverton, Wyoming floodplain site. The groundwater at this site exhibits persistent U, Mo, and sulfate plumes and is one of the field sites in focus for the SLAC Groundwater Quality SFA program. Cores were separated into 5-20 cm segments based on soil horizonation and each segment was subsampled for microbial analyses (data available at the NCBI Single Read Archive (SRA) Database, https://www.ncbi.nlm.nih.gov/sra/, BioProject ID# PRJNA626616) in addition to the soil analyses included in this dataset. The soil analyses dataset includes aerobic and anaerobic respiration rate estimates (MicroResp method), water content estimates (on collected samples, not in situ), total C, N, S, Ca, K, Mg, Na, Fe, As, Mo, U, and organic-C concentrations, water extractable concentrations of the same elements, and HCl-extractable Fe(II) concentrations.There are four files included in this data package: metadataFile.csv, avgDataFile.csv, methodFile.csv, and RVT2017soilData.xlsx. The excel file contains the same information as the individual csv-files (in separate tabs).
54 ENVIRONMENTAL SCIENCES↗
Metagenome-assembled genomes from Wind River Basin floodplain sediments Riverton, Wyoming site (August 2015)
Microorganisms play a key role in cycling nutrients and contaminants in the terrestrial environment depending on their genetic potential. Here we present metagenome-assembled genomes (MAGs) for the bacterial and archaeal community in floodplain sediment samples taken August 29, 2015 at a location (KB1) close to DOE Legacy Management well 855 at the Riverton, Wyoming floodplain site in the Wind River Basin (WRB). The groundwater at this site exhibits persistent U, Mo, and sulfate plumes and is one of the field sites in focus for the SLAC Groundwater Quality SFA program. Sediment samples from a deep soil pit were collected from 0 to 234 cm depth below surface at discrete depths every ~10-20 cm for microbial analyses. 13 metagenomes were sequenced through JGI and can be found under Gold sequencing project: Gs0131241. Metagenomes were assembled, binned, and refined using metawrap to generate MAGs (>50% complete and < 10% contamination based on checkM scores).This dataset includes a zip file of 2216 MAG fasta files and a csv file with quality, taxonomic classification (GTDB RS220), and metagenome accessions for MAGs. This dataset also includes a file-level metadata (flmd.csv) file that lists each file contained in the dataset with associated metadata and a data dictionary (dd.csv) file that contains column/row headers used throughout the files along with a definition, units, and data type
54 ENVIRONMENTAL SCIENCES↗
Metagenome-assembled genomes from Wind River Basin floodplain sediments Riverton, Wyoming site (June to October 2019)
Microorganisms play a key role in cycling nutrients and contaminants in the terrestrial environment depending on their genetic potential. Here we present metagenome-assembled genomes (MAGs) for the bacterial and archaeal community in floodplain sediment samples taken at three time points from June 12, 2019 to October 23,2019 at a location (PTT1) close to DOE Legacy Management well 855 at the Riverton, Wyoming floodplain site in the Wind River Basin (WRB). The groundwater at this site exhibits persistent U, Mo, and sulfate plumes and is one of the field sites in focus for the SLAC Groundwater Quality SFA program. Sediment samples were collected from 60 to 180 cm below surface every 30cm for microbial analyses through metagenomic sequencing. 15 metagenomes were sequenced through JGI and can be found under Gold sequencing project: Gs0131241. Metagenomes were assembled, binned, and refined using metawrap to generate MAGs (>50% complete and < 10% contamination based on checkM scores). This dataset includes a zip file of 780 MAG fasta files and a csv file with quality, taxonomic classification (GTDB RS220), and metagenome accessions for MAGs. This dataset also includes a file-level metadata (flmd.csv) file that lists each file contained in the dataset with associated metadata and a data dictionary (dd.csv) file that contains column/row headers used throughout the files along with a definition, units, and data type. A sample metadata file (samples.csv) that contains site information has also been included.
54 ENVIRONMENTAL SCIENCES↗