This learninginhoneybeesubspeciesreadme.txt file was generated on 2021-10-10 by Martin Gabel GENERAL INFORMATION 1. Title of Dataset: Comparing the Appetitive Learning Performance of Six European Honeybee Subspecies in a Common Apiary 2. Author Information A. Principal Investigator Contact Information Name: Ricarda Scheiner Institution: Julius-Maximilians-Universität Würzburg: Wurzburg, Bayern, DE Address: https://www.biozentrum.uni-wuerzburg.de/en/zoo2/people/ricarda-scheiner-personal-page/ Email: ricarda.scheiner@uni-wuerzburg.de B. Associate or Co-investigator Contact Information Name: Martin Gabel Institution: Julius-Maximilians-Universität Würzburg: Wurzburg, Bayern, DE Address: https://www.biozentrum.uni-wuerzburg.de/en/zoo2/people/martin-gabel-personal-page/ Email: martinn.gabel@stud-mail.uni-wuerzburg.de C. Alternate Contact Information Name: Kayun Lim Institution: Laboratory of Insect Biosystematics, Department of Agricultural Biotechnology, Seoul National University Address: / Email: kayunlim@snu.ac.kr 3. Date of data collection: Summer season 2018 4. Geographic location of data collection: University of Würzburg, Würzburg (Bavaria, Germany) 5. Information about funding sources that supported the collection of the data: / SHARING/ACCESS INFORMATION 1. Licenses/restrictions placed on the data: / 2. Links to publications that cite or use the data: https://doi.org/10.3390/insects12090768 3. Links to other publicly accessible locations of the data: / 4. Links/relationships to ancillary data sets: / 5. Was data derived from another source? no A. If yes, list source(s): / 6. Recommended citation for this dataset: Scheiner, R., Lim, K., Meixner, M. D., & Gabel, M. S. (2021). Comparing the appetitive learning performance of six European honeybee subspecies in a common apiary. Insects, 12(9), 768 DATA & FILE OVERVIEW 1. File List: -raw data learning curves.csv contains the raw data on classical olfactory conditioning in a long format, each row represents a individual bee, each column represents a conditioning trial. Response counts are coded binary with "1" representing a response and "0" representing no response. -raw data GRS and learn scores.csv contains the raw data on gustatory response scores and learning scores in a long format, each row represents a individual bee, the columns hold information on gustatory response scores (GRS) and learning scores (K_score) as well as hive affiliation of the individual bee 2. Relationship between files, if important: Belonging to the same dataset used in https://doi.org/10.3390/insects12090768 3. Additional related data collected that was not included in the current data package: / 4. Are there multiple versions of the dataset? no A. If yes, name of file(s) that was updated: i. Why was the file updated? ii. When was the file updated? METHODOLOGICAL INFORMATION 1. Description of methods used for collection/generation of data: Classical olfactory conditioning and proboscis extension reflex assays, detailed methods given in: Scheiner, R., Lim, K., Meixner, M. D., & Gabel, M. S. (2021). Comparing the appetitive learning performance of six European honeybee subspecies in a common apiary. Insects, 12(9), 768 2. Methods for processing the data: details given in https://doi.org/10.3390/insects12090768 3. Instrument- or software-specific information needed to interpret the data: / 4. Standards and calibration information, if appropriate: / 5. Environmental/experimental conditions: details given in https://doi.org/10.3390/insects12090768 6. Describe any quality-assurance procedures performed on the data: details given in https://doi.org/10.3390/insects12090768 7. People involved with sample collection, processing, analysis and/or submission: details given in https://doi.org/10.3390/insects12090768 DATA-SPECIFIC INFORMATION FOR: raw data learning curves.csv 1. Number of variables: 7 2. Number of cases/rows: 350 3. Variable List: subsbecies (subspecies affiliation of the respective individual), cond1, cond2, cond3, cond4, cond5 and cond6 (Response count of the individual bee in six subsequent conditioning trials. Response counts are coded binary with "1" representing a response and "0" representing no response.) 4. Missing data codes: not applicable 5. Specialized formats or other abbreviations used: / DATA-SPECIFIC INFORMATION FOR: raw data GRS and learn scores.csv 1. Number of variables: 4 2. Number of cases/rows: 350 3. Variable List: subsbecies (subspecies affiliation of the respective individual), Hive (hive affiliation of the respective bee), GRS (gustatory response score) and K_score (learning score) 4. Missing data codes: not applicable 5. Specialized formats or other abbreviations used: /