Online-only Table 1.

The MIReAD Study Information (Resource metadata) fields. The information in this table should be included with every data submission, for example by including data in the file header as demonstrated in the examples⁴⁰

Field	Details	Recommendations	Examples
Contact details	A name, person, authority, etc. that may be contacted with enquiries about the data.	Include investigator ORCID(s), email address, website (if institutional) if possible.	Kurt Vandegrift orcid.org/0000-0002-5690-3300 kurtvandegrift@gmail.com State University Agricultural Extension John Smith (jsmith@StateU.edu) www.StateU.edu/AgriculturalExtension/
General description of the experiment/ collection set	A short description of the study objectives, sampling design, and hypotheses. Used to aid in browsing multiple studies. A short title and long form name might be helpful.	Useful things to indicate are: Random sampling or continuous monitoring in fixed locations General time frames and location. General description of where data is from. Subsampling details, if relevant. Rationale for trap placement, experimental design, etc. may be provided, if relevant.	“Monitoring of major pests on cucumber, sweet pepper and tomato under net-house conditions in Punjab, India” “Pennsylvania Ixodes scapularis weekly abundance” Continuous (weekly) monitoring of tick numbers attached to white-footed mice in fixed locations in Pennsylvania, USA (12 sites). 2003-present.” “Long term aphid emergence monitoring using continuous suction traps”
Citations	Reference to related publications, digital if possible (e.g. DOI(s) or PMID(s)).		“A web-based relational database for monitoring and analyzing mosquito population dynamics Sucaet Y, Van Hemert J, Tucker B, Bartholomay L.” “PMID: 18714883” “Horiuchi, Kaho, Kosei Hashimoto, and Fumio Hayashi. Cantharidin world in air: Spatiotemporal distributions of flying canthariphilous insects in the forest interior. Entomological Science (2018).”
Species Identification Method	A description of method of species identification. Particularly important for cryptic species complexes.	Providing information on the veracity of the identification is encouraged, such as a reference to the exact identification key or method.	“Morphological” “Genotyped, using method of Smith et al. 2014, PMID: 18714883” “Morphological: used keys of Doe (1958)” “High confidence morphological ID by Jane Doe”
Not present vs zero information	Indication of what gaps, zeros, NA, etc. mean.	It is imperative, especially for population surveys, to understand the difference between a species was not found when the collection method would be expected to find the given species (confirmed absence), or a species was not looked for (e.g. a trap failure) Preferably, a zero indicates a species was looked for and not found, and a NA represents a species was not looked for/trap failure/ etc. Blank values are highly discouraged Authors might also assert a definition of absence.	“Zero indicates a species was looked for and not found. NA represents a trap failure” “When a species is indicated as absent, it was expected due to extensive sampling and found in other places during the study but not found here.”
GPS information	If raw GPS data is obfuscated in any way, a statement on the manner by which this occurred should be given. The ellipsoid, geodetic datum, or spatial reference system (SRS), if known, can also be identified. GPS unit accuracy could also be provided.	The highest resolution data (e.g. trap-level, specific GPS location) are the most useful. It is hoped that no data obfuscation occurs. Some common GPS point obsfucations, if utilized, that should be noted: aggregation (making the areal unit larger, e.g. increasing pixel size in a raster (and generating new centroid coordinates) reducing precision of location (reducing GPS decimal points) dithering (‘moving’ GPS points via adding a degree of ‘error’ – distance – to the X,Y)	“Raw GPS points have been provided. GPS unit accuracy + /− 8 m” “GPS locations have had precision reduced by truncating to 3 decimals” “Points were dithered by displacing points randomly by X distance” “WGS84 datum used and data was aggregated to 1 km pixels”
Data usage information	The data reuse policy for your data. Please provide a creative commons license identification. See https://creativecommons.org for more information.	For data to be F.A.I.R., it must be Reusable. We therefore recommend data be provided as “CC0” or “CC BY 4.0”. “CC0”, under which data are made available for any use without restriction or particular requirements on the part of users “CC BY 4.0”, under which data are made available for any use provided that attribution is appropriately given for the sources of data used, in the manner specified by the owner (e.g. citation).	“CC 0” or “CC BY 4.0”