This data table contains the processed data for the LacI genotype-phenotype landscape, a quantitative measurement of the phenotype for approximately 60,000 variants of the E. coli LacI protein. The table includes, for example, the DNA barcode sequencing counts and the estimated fitness for each variant across 24 different chemical environments. It also includes the estimated dose-response curves for each variant under induction with IPTG.

The raw data consisted of demultiplexed fastq files pairs (R1.fastq and R2.fastq) per sample accessible on the NCBI Sequences Read Archive (SRA) under the BioProject accession numbers PRJNA1187555 for experiments E1 and E3 and PRJNA1187576 for E2 and E4. This dataset is associated with the following publication: Valentin, V., S. Rivera, E. Acs, S. Almeida, K. Andree, L. Apothéloz-Perret-Gentil, B. Bailet, A. Baričević, K. Beentjes, J. Bettig, A. Bouchez, C. Camilla, C. Chardon, M. Duleba, T. Elersek, C. Genthon, M. Jablonska, L. Jacas, M. Kahlert, M. Kelly, J. Macher, F. Mauri, M. Moletta-Denat, A. Mortágua, J. Pawlowski, J. Pérez-Burillo, M. Pfannkuchen, E. Pilgrim, P. Panayiota, F. Rimet, K. Stanic, K. Tapolczai, S. Theroux, R. Trobajo, B. Van der Hoorn, M. Vasquez, M. Vidal, D. Wanless, J. Warren, J. Zimmermann, and B. Paix. Proficiency testing and cross-laboratory method comparison to support standardisation of diatom DNA metabarcoding for freshwater biomonitoring. Metabarcoding and Metagenomics. Pensoft Publishers, Sofia, BULGARIA, e133264, (2025).

These data contain Genbank Accession numbers for DNA amplified and sequenced from a subset of Environmental Samplers that were positive for Ceratocystis lukuohia and Austropuccinia by quantitative PCR (qPCR)

A comprehensive, integrated, non-redundant, well-annotated set of reference sequences including genomic, transcript, and protein.

To assess the variability of low-abundance oligonucleotide detection across sample matrices, we spiked DNA reference standards (meta sequins) into replicate wastewater DNA extracts at logarithmically decreasing mass-to-mass percentages (m/m%) and deeply sequenced them on the Illumina platform. This dataset summarizes the experimental conditions and results of the detection frequencies of those oligonucleotides as well as detailed descriptions of the DNA reference standards used. This dataset is associated with the following publication: Davis, B., P. Vikesland, and A. Pruden. Evaluating Quantitative Metagenomics for Environmental Monitoring of Antibiotic Resistance and Establishing Detection Limits. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 59(12): 6192-6202, (2025).

Aspergillus fumigatus is a saprophytic filamentous fungus that is ubiquitous outdoors (soil decaying vegetation) and indoors (hospitals simulated closed habitats etc.). A. fumigatus can adapt to various environmental conditions and form airborne conidia that are the inoculum for a variety of diseases (e.g. non- and invasive pulmonary infections allergic bronchopulmonary aspergillosis etc.) in immunocompromised hosts. In an on-going Microbial Observatory Experiments on the International Space Station (ISS) molecular phylogeny of several fungal isolates were characterized. Two strains ISSF 21 and IF1SW-F4 were isolated from the HEPA filter and the surface of the Cupola of the ISS respectively. Using primers targeting the internal transcribed spacers ITS1 and 2 both isolates were identified as A. fumigatus. The whole genome sequence analysis of ISSF 21 revealed increased number of single nucleotide polymorphisms (SNPs) when compared to the reference A. fumigatus 293. Knowing that A. fumigatus is an opportunistic pathogen and microgravity highly influences the antibiotic susceptibility and pathogenicity of microorganisms we examined pathogenicity of both ISS isolates using the zebrafish larval model. The space station isolates (ISSF-021 and IF1SW-F4) were more virulent than two clinical strains (Af293 and CEA10) whose pathogenicity was highly characterized. Here the whole genome sequences of ISSF-021 strain are being deposited.

Compute cDNA-to-Genomic sequence alignments.

These data are bacterial 16S rRNA sequences and a taxonomic summary table for biofilm samples from the bio-reactors. The data may provide background/supporting information for other researchers who have a similar experimental plan with a microbial electrochemical cell reactor. This dataset is associated with the following publication: Santodomingo, J., H. Lee, B. Dhar, J. An, B. Rittmann, H. Ren, and J. Chae. The Roles of Biofilm Conductivity and Donor Substrate Kinetics in a Mixed-Culture Biofilm Anod. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 50(23): 12799-12807, (2016).

,Whole genome sequence data for Bovidae Bos taurus - beef Angus. The data is in "fastq" format.,The National Animal Germplasm Program has germplasm for this animal, with the repository number 44718.,There are two versions of each file because we did paired end sequencing. There are two reads for each of the 210 data lines (a forward and a reverse read) summing to 420 total. A diagram of this is provided in the Collection Dataset . In the diagram, the two reads would correspond to read 1 and read 3.,Resources in this dataset:,Resource Title: Animal 44718 Sequence Data - SCINet.File Name: Web Page, url: https://app.globus.org/file-manager?origin_id=904c2108-90cf-11e8-9672-0a6d4e044368&origin_path=/LTS/ADCdatastorage/NAL/published/node32137/,tar file containing 14 files. The files are:,SCINet users: The .tar file can be accessed/retrieved with valid SCINet account at this location: /LTS/ADCdatastorage/NAL/published/node32137/44718.tar,See the SCINet File Transfer guide for more information on moving large files: https://scinet.usda.gov/guides/data/datatransfer,Globus users: The files can also be accessed through Globus by following this data link. The user will need to log in to Globus in order to retrieve this data. User accounts are free of charge with several options for signing on. Instructions for creating an account are on the login page.,,

Sequence reads (16S rDNA- and 16S rRNA-based) were processed and analyzed using Mothur software. The results presented in the attached Excel file. Also, the other MS word file includes taxonomic summary tables for bacterial communities on biofilms from the MAIFAS reactor as well as the detailed description of Materials & Methods. This dataset is associated with the following publication: Church, J., H. Ryu, A. Sadmani, A. Randall, J. Santodomingo, and W.H. Lee. Multiscale investigation of a symbiotic microalgal-integrated fixed film activated sludge (MAIFAS) process for nutrient removal and photo-oxygenation. Bioresource Technology. Elsevier Online, New York, NY, USA, 268: 128-138, (2018).