This version of the README.txt template was created by Lund University 20240827

This README.txt file was generated on YYYYMMDD by NAME
It was revised on YYYYMMDD by NAME

1. Title of Dataset: <Dataset titles should describe what the dataset contains. Most important information first; be short; no acronyms; not include the word "dataset". If multiple datasets, make sure the titles are clear and concise.>

2. Project information
  Project title:
  URL to Research Portal project page:
  Project start date: <Year>
  Project end date: <Year>
  If curtailed, reason and date: <Short description + Year>

3. Contact Information <List all relevant>
A. Principal Investigator Contact Information
    Name:
    ORCID:
    Institution, Department:
  B. Associate or Co-investigator Contact Information
    Name:
    ORCID:
    Institution, Department:

3. Date of data collection (single date, range, approximate date) <suggested format YYYY-MM-DD, as approriate, e.g. ISO 8601>:

4. Geographic location of data collection <City, Region, Country, (latitude/longitude if applicable) etc. as appropriate, e.g. ISO 3166>:

5. Information about funding sources that supported the collection of the data: <If possible, use Award ID, pref. no acronyms. Primary funding organization is to be provided in Lucris >

6. Keywords describing the subject and nature of the data <Provide as many keywords as necessary>

7. Language(s) used in the dataset

SHARING/ACCESS INFORMATION

1. Licenses/Restrictions placed on the data: <E.g. Confidentiality, personal data, ethically reviewed, reference to consent agreements, copyright. Be as specific as possible>

2. Links to publications, e.g. articles, that cite or use the data: <DOI/URL/other ref>

3. Links to any publicly accessible locations of the data: <DOI/URL/other ref>

4. Links/Relationships to ancillary data sets: <DOI/URL/other ref to related datasets, such as derived from/part of/earlier version of etc> 

5. Was data derived from another source? yes/no
  A. If yes, list source(s): <DOI/URL/other ref, digital or printed>

6. Recommended citation for this dataset: <mall>

DATA & FILE OVERVIEW

1. File List:
  <list all files (or folders, as appropriate for dataset organisation) contained in the dataset, with brief descriptions, incl. file formats>

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? yes/no < N.B. all definite versions must be archived!>
  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:
  <Include e.g. links or references to publications or other documentation containing experimental design or protocols used in data collection>

2. Methods for processing the data:
  <Describe how the published/submitted data were generated from the raw or collected data. N.B. Both/All sets of data must be archived!  > 

3. Instrument- or software-specific information needed to interpret the data:
  <Include full name and version of software, and any necessary packages or libraries needed to run scripts>

4. Standards and calibration information, if appropriate: <E.g. what standards are used for e.g. dates, languages etc.>

5. Environmental/Experimental conditions, if appropriate:

6. Describe any quality-assurance procedures performed on the data: <This may include processes such as calibration, repeated sampling or measurements, standardized data capture or recording, data entry validation, peer review of data or use of controlled vocabularies.>

7. People involved with sample collection, processing, analysis and/or submission: < Full names, affiliations and roles>

DISCIPLINARY METADATA AND INFORMATION [if applicable]:

Please add information specific for relevant disciplines, e.g. metadata schemas, standards, keywords from controlled vocabularies, methods etc.

DATA-SPECIFIC INFORMATION FOR: [DATASET/FOLDER/FILENAME]

<Repeat this section for each dataset, folder or file, as appropriate. Describe how the folders/files are structured and what they contain>

1. Number of variables, if appropriate:

2. Number of cases/rows, if appropriate:

3. Variable List, if appropriate:
  <list variable name(s), description(s), unit(s)and value labels as appropriate for each.>

4. For data not organised in spreadsheet/csv form, list corresponding information, e.g. codes used in musical scores, interview questions etc.

5. Missing data codes:
  <list code/symbol and definition>

6. Specialized formats or abbreviations used: