GENERAL INFORMATION 1. Title of Dataset: Rain and Hail intensity. January 2013 2. Authors: Aguilar, Fernando 3. Date of data collection: 2014 4. Date of data publication on repository: 22-ene-2014 5. Geographic location of data collection : Cuerda del Pozo, Soria, Spain; lat=N 41° 51' 6''; long=W 2° 44' 24'' 6. Information about funding sources that supported the collection of the data (including research project reference/acronym): 7. Recommended citation for this dataset: Aguilar, Fernando; 2014; Rain and Hail intensity. January 2013; Dryad; https://doi.org/10.15146/R3HG69 SHARING/ACCESS/CONTEXT INFORMATION 1. Usage Licenses/restrictions placed on the data (please indicate if different data files have different usage license): https://creativecommons.org/publicdomain/zero/1.0/ 2. Links to publications/other research outputs that cite the data: https://doi.org/10.15146/R3HG69 3. Links to publications/other research outputs that use the data: 4. Links to other publicly accessible locations of the data: 5. Links/relationships to ancillary data sets: 6. Was data derived from another source? If so, please add link where such work is located: DATA & FILE OVERVIEW 1. File List: 2. Relationship between files, if important: 3. Additional related data collected that was not included in the current data package: 4. Are there multiple versions of the dataset? If so, please indicate where they are located: METHODOLOGICAL INFORMATION 1. Description of methods used for collection/generation of data: 2. Methods for processing the data: 3. Instrument- or software-specific information needed to interpret/reproduce the data, please indicate their location: 4. Standards and calibration information, if appropriate: 5. Environmental/experimental conditions: 6. Describe any quality-assurance procedures performed on the data: 7. People involved with sample collection, processing, analysis and/or submission, please specify using CREDIT roles https://casrai.org/credit/: 8. Author contact information: DATA-SPECIFIC INFORMATION: 1. Number of variables: 2. Number of cases/rows: 3. Variable List: 4. Missing data codes: 5. Specialized formats or other abbreviations used: 6. Dictionaries/codebooks used: 7. Controlled vocabularies/ontologies used: