Data transcribed from authority records matching relevant search criteria submitted to OCLC. MARC records retrieved July 11, 2017 via OCLC Connexion Client. Data entry completed September, 12, 2017. Data entered in exact transcription, retaining any errors or typos found in the retrieved records.
Dataset for "Comparing Transaction Logs to ILL requests to Determine the Persistence of Library Patrons In Obtaining Materials" article.
Excel file contains all data in four worksheets
Zip file contains four csv files, one for each worksheet:
- Comparing Transaction Logs to ILL - 2016 ILL Raw Data.csv
- Comparing Transaction Logs to ILL - 2015 ILL Raw Data.csv
- Comparing Transaction Logs to ILL - 2016 Zero Search Raw Data.csv
- Comparing Transaction Logs to ILL - 2015 Zero Search Raw Data.csv
Date derived from a sample of OCLC records. Data was collected for research published by "Cataloging & Classification Quarterly." Full citation of the paper is: Park, Taemin Kim & Andrea M. Morrison (2017). The Nature and Characteristics of Bibliographic Relationships in RDA Cataloging Records in OCLC at the Beginning of RDA Implementation. Cataloging & Classification Quarterly, vol. 55, issue 6. http://www.tandfonline.com/doi/full/10.1080/01639374.2017.1319451. A post-print of the paper is available here: http://hdl.handle.net/2022/21657.
List of base-pair substitutions in "The symmetrical pattern of base-pair substitutions rates across the chromosome in Escherichia coli has multiple causes"
There are two files: a README describing the main data file, and a main data file.
The main data file is plain ASCII, tab delimited, with header comments.
Citation to related publication:
Title:
Data set for article "Links among inflammation, sexual activity and ovulation: Evolutionary trade-offs and clinical implications"
Gas phase measurements of NO, NO2, N2O, CO2 and O3 were collected from four experimental chambers and 1m above the ground during a field campaign at the Indiana University Research and Teaching Preserve from 08/02/2017 to 08/18/2017. Chambers contained different levels of vegetation to understand the effect that vegetation has on soil fluxes of these gases. These measurements were processed in R computing environment to produce measurement of fluxes. Raw data and processed data both appear in this dataset.
