This is a GTFS feed with data for Metro Transportes do Sul (MTS) with the Onestop ID of "f-eyc-mts".

The Millennial Trends Survey (MTS 2019) was administered online between March 4-27, 2019 in both English and French, by Sarah Wilkins-Laflamme at the University of Waterloo. The questionnaire contains a total of 69 questions on the respondent's sociodemographic characteristics, (non)religious and (non)spiritual affiliations, beliefs and practices, friendship networks as well as inclusivity attitudes. This survey was reviewed and received ethics clearance through the University of Waterloo's Research Ethics Committee.

A total of 2,514 respondents aged 18-35 completed the 15-minute web survey (1,508 from Canada and 1,006 from the U.S.). Respondents were recruited through "https://leger360.com" Target="_blank">Leger's panel of registered members to complete the survey hosted by "https://uwaterloo.ca/survey-research-centre/" Target="_blank">the University of Waterloo's Survey Research Centre. Potential respondents were sent an e-mail invitation to complete the web survey, and then received reminders up to two times, if necessary. Age, gender, regional and education level quotas were applied during the initial random selection of respondents, and later monitored as responses came in to adjust further recruitment efforts and completes. Post-stratification weights were then created and applied to the statistical analyses in order to achieve greater young adult population representativeness on the variables of country of birth, household income, and race/ethnicity. The final response rate for the MTS 2019 was 6.5 percent: lower than the 10-15 percent response rates common for online surveys, mainly because of the additional recruitment efforts to fill some of the harder to reach quotas (notably young adult males with no university education). Additional details can be found in the Millennial Trends Survey - Technical Report document (Technical Report is attached to the original survey below - after page 55).

This is a GTFS-RT feed with data for San Diego Metropolitan Transit System (MTS) with the Onestop ID of "f-mts~rt~mecatrans".

This is a GTFS-RT feed with data for San Diego Metropolitan Transit System (MTS) with the Onestop ID of "f-mts~rt~onebusaway".

This is a GTFS feed with data for San Diego County Regional Airport Authority (San Diego Flyer), San Diego Metropolitan Transit System (MTS) with the Onestop ID of "f-9mu-mts". There are over 100 versions of this feed.

This repo contains results of a biocomputational analysis of wastewater sequencing data presented in the paper "Deep wastewater metatranscriptomic sequencing data, Los Angeles, USA, 2023-2024."Here is the abstract of the paper that presents the data:Here we present a dataset consisting of 13.1 terabases (43B read pairs) of untargeted Illumina W-MTS data, generated from 20 wastewater samples, with 1.4B to 2.8B 150bp read pairs per sample. Wastewater samples were collected between December 2023 and April 2024 at the Hyperion Water Reclamation Plant (HWRP), Los Angeles, serving a population of approximately 4 million residents. The resulting dataset, one of the largest W-MTS collections to date, contains bacterial, archaeal, eukaryotic, and viral taxa—including human-infecting viruses—and many sequences of unknown origin. Uploaded to the NCBI Sequence Read Archive, we expect this data to spur additional research into the composition and viability of wastewater sequencing data for wastewater-based epidemiology and early detection of novel pathogens.The original dataset can be found under: https://www.ncbi.nlm.nih.gov/bioproject/PRJNA1198001The pipeline that was used to analyze the sequencing data can be found under: https://github.com/naobservatory/mgs-workflow/tree/2.5.1