RECOMMENDED README FILE FOR DIGITAL.CSIC DATASETS




GENERAL INFORMATION

1. Title of Dataset: DataSheet_1_Genome-wide identification of Reverse Transcriptase domains of recently inserted endogenous plant pararetrovirus (Caulimoviridae).docx


2. Authors: Tomás, Carlos de CSIC; Vicient, Carlos M.


3. Date of data collection: N/A


4. Date of data publication on repository: 2022-12-14


5. Geographic location of data collection <latitude, longitude, or city/region, Country, continent as appropriate>: N/A


6. Information about funding sources that supported the collection of the data (including research project reference/acronym): N/A


7. Recommended citation for this dataset: Tomás, Carlos de; Vicient, Carlos M.; 2022; DataSheet_1_Genome-wide identification of Reverse Transcriptase domains of recently inserted endogenous plant pararetrovirus (Caulimoviridae).docx [Dataset]; Figshare; https://doi.org/10.3389/fpls.2022.1011565.s001




SHARING/ACCESS/CONTEXT INFORMATION

1. Usage Licenses/restrictions placed on the data (please indicate if different data files have different usage license):
http://creativecommons.org/licenses/by/4.0/

2. Links to publications/other research outputs that cite the data: N/A


3. Links to publications/other research outputs that use the data: Tomás, Carlos de; Vicient, Carlos M. Genome-wide identification of Reverse Transcriptase domains of recently inserted endogenous plant pararetrovirus (Caulimoviridae). https://doi.org/10.3389/fpls.2022.1011565. http://hdl.handle.net/10261/303480


4. Links to other publicly accessible locations of the data: N/A


5. Links/relationships to ancillary data sets: N/A


6. Was data derived from another source? If so, please add link where such work is located: N/A




DATA & FILE OVERVIEW

1. File List: 
DataSheet_1_Genome-wide.docx

2. Relationship between files, if important: N/A


3. Additional related data collected that was not included in the current data package: N/A


4. Are there multiple versions of the dataset? If so, please indicate where they are located: N/A



METHODOLOGICAL INFORMATION

1. Description of methods used for collection/generation of data: N/A


2. Methods for processing the data: N/A


3. Instrument- or software-specific information needed to interpret/reproduce the data, please indicate their location: N/A


4. Standards and calibration information, if appropriate: N/A


5. Environmental/experimental conditions: N/A


6. Describe any quality-assurance procedures performed on the data: N/A


7. People involved with sample collection, processing, analysis and/or submission, please specify using CREDIT roles https://credit.niso.org/: N/A


8. Author contact information: N/A


DATA-SPECIFIC INFORMATION:


1. Number of variables: N/A


2. Number of cases/rows: N/A


3. Variable List: N/A


4. Missing data codes: N/A


5. Specialized formats or other abbreviations used: N/A


6. Dictionaries/codebooks used: N/A


7. Controlled vocabularies/ontologies used: N/A