This readme file was generated on 2021-01-20 by Gianalberto Losapio GENERAL INFORMATION 1. Title of Dataset: Data from: Facilitation and biodiversity jointly drive mutualistic networks 2. Author Information A. Principal Investigator Contact Information Name: Gianalberto Losapio Institution: Stanford University Address: 327 Campus dr, Stanford University, Stanford, 94305 CA, USA Email: losapiog@stanford.edu 3. Date of data collection (single date, range, approximate date): 2017-05 4. Geographic location of data collection: Aprisco de las Corchuelas, Caceres, Extremadura, Spain 5. Information about funding sources that supported the collection of the data: Swiss National Science Foundation (grant P2ZHP3_187938, PZ00P3_148261 and PP00P3_170645) SHARING/ACCESS INFORMATION 1. Licenses/restrictions placed on the data: none 2. Links to publications that cite or use the data: https://doi.org/10.5061 3. Links to other publicly accessible locations of the data: https://doi.org/10.5061/dryad.bzkh1897m 4. Links/relationships to ancillary data sets: no 5. Was data derived from another source? no A. If yes, list source(s): 6. Recommended citation for this dataset: Losapio, Gianalberto et al. (2021), Data from: Facilitation and biodiversity jointly drive mutualistic networks, Dryad, Dataset, https://doi.org/10.5061/dryad.bzkh1897m DATA & FILE OVERVIEW 1. File List: - Book1.xlsx: summary table for SI with plant-pollinator networks. - eldata.csv: raw survey data with plant-pollinator observations. - Losapio_JEcol.R: R script - Losapio_JEcol.RData: R image 2. Relationship between files, if important: Losapio_JEcol.R for loading the eldata.csv and running the analysis of Losapio_JEcol.RData 3. Additional related data collected that was not included in the current data package: none 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: Losapio, Gianalberto et al. (2021), Facilitation and biodiversity jointly drive mutualistic networks. Journal of Ecology, https://doi.org/10.5061 2. Methods for processing the data: Raw data are eldata.csv. Instructions for obtaining summary data of Book1.xlsx are in the script Losapio_JEcol.R. 3. Instrument- or software-specific information needed to interpret the data: R version 4.0.2 (2020-06-22) -- "Taking Off Again" Copyright (C) 2020 The R Foundation for Statistical Computing Platform: x86_64-apple-darwin17.0 (64-bit) Packages and library required included in the script. 4. Standards and calibration information, if appropriate: standardization by time (20 min) and space (1 m^2). 5. Environmental/experimental conditions: See the paper. 6. Describe any quality-assurance procedures performed on the data: sensitivity analysis. 7. People involved with sample collection, processing, analysis and/or submission: Gianalberto Losapio1, Elizabeth Norton Hasday2, Xavier Espadaler3, Christoph Germann4, Francisco Javier Ortiz-Sánchez5, Adrian Pont6, Daniele Sommaggio7, Christian Schöb9 1 Department of Biology, Stanford University, 94305 California, USA. 2 Department of Evolutionary Biology and Environmental Studies, University of Zurich, 8057 Zurich, Switzerland. 3 CREAF, Autonomous University of Barcelona, 08193 Bellaterra, Spain. 4 Naturhistorisches Museum Basel, Augustinergasse 2, 4001 Basel, Switzerland. 5 Grupo de Investigación “Transferencia de I+D en el Área de Recursos Naturales”, Universidad de Almería, E-04120 La Cañada Almería, Spain. 6 Oxford University Museum of Natural History, Parks Road, Oxford OX1 3PW, UK. 7 Department of Agricultural and Food Sciences, Alma Mater Studiorum-Università di Bologna, 40127 Bologna, Italy. 9 Institute of Agricultural Sciences, ETH Zurich, 8092 Zurich, Switzerland. DATA-SPECIFIC INFORMATION FOR: Book1.xlsx 1. Number of variables: 2 2. Number of cases/rows: 8 blocks 3. Variable List: plants in columns, and insects in rows 4. Missing data codes: Numbers indicate the abundance of insects visiting each plant species 5. Specialized formats or other abbreviations used: Observed and additive indicate the two treatments, followed by the block number DATA-SPECIFIC INFORMATION FOR: eldata.csv 1. Number of variables: 12 2. Number of cases/rows: 3735 3. Variable List: date (date of collection as yyyymmdd); day (ordinal day of sampling); time (ordinal time of sampling); hour (hour of the day); nurse (presence=1 or absence=0 of nurse plants); div (understory diversity treatment); comp (species composition); block (block number); aggregation (aggregating factor); plot (plot number); in.code (insect species); pl.genus (plant species). 4. Missing data codes: Na 5. Specialized formats or other abbreviations used: Na