Published May 27, 2024 | Version v1
Dataset Embargoed

E4Warning Mosquito Surveillance Data

Description

Mosquito surveillance data, obtained through various trapping methods, are compiled and shared in Excel (.xlsx) files. The E4Warning dataset template aims to assist field researchers in their data archiving efforts by aligning with the project's Data Management Plan. It consists of two main components: metadata and data.

  1. The metadata component includes information about the origin of the dataset, such as study details and licensing for usage. This ensures that all necessary contextual information is accessible. Our metadata component utilizes the template generated by MIReAD (Minimum Information for Reusable Analytical Data) to ensure high standards of data documentation and reusability of arthropod abundance data by establishing a set of guidelines for data reporting. By adopting the MIReAD template for our metadata, we align our data management practices with best practices for data standardization and transparency

  2. The data component lists and describes the specific data fields that should be included in data collection sheets. This is tailored to capture the essential variables typically collected by academic researchers and surveillance initiatives. The template serves as a comprehensive checklist to help prevent the omission of crucial information.

The mosquito surveillance data template utilized by E4Warning partners is a designed document for recording data from mosquito trapping activities, which is subsequently used for modeling. Each field within the template is structured to ensure a comprehensive understanding of the surveillance efforts and the possible biases introduced by the trapping devices and attractants used.


[1] Rund et al. 2019. MIReAD, a minimum information standard for reporting arthropod abundance data. Scientific Data. 6: 40.

Technical info (English)

Field

Details

Partner

Indicates the name of the partner institution that conducted the fieldwork.

Acronym Institution

Provides the acronym of the responsible partner institution.

Curator

Specifies the names of the individuals who carried out the field work, analyzed the samples in the laboratory, and curated the data.

Experiment or Surveillance

Options = SIT, MRR, SURV. Indicates if the data are from a surveillance (SURV) or from experiments like SIT or MRR.

Country

This field specifies the country from which the data were collected.

Admin Unit (NUTs3)

This could refer to a specific administrative division, such as a district or province.

Trap ID

[E(ovitraps) or A(BGS traps) + location name + numbering]: Each trap is assigned a unique identifier, which could be a combination of letters and numbers. This identifier might also indicate the type of trap used: 'E' signifies the use of an ovitrap, while 'A' indicates a BG-trap for adult mosquitoes.

Latitude

The geographic UTM coordinates indicating the location of the trap.

Longitude

The geographic UTM coordinates indicating the location of the trap.

Trap type

This variable indicates what kind of trap has been used defining three different options: “Ovitrap”, “BG-Sentinel” or “BG-Pro”.

Attractant

This variable indicates what kind of attractant has been used with the trap defining different options: “BG-Lure”, “CO2”, “CO2+lure”, “lights + lure”, but add as much details as possible. Company names, in particular for chemical attractants, are helpful. Explicitly state if not attractant was used.

Start date

Date of the start of the sampling with a YYMMDD format.

Start time

hh:mm format of the time of trap activation.

End date

Date of the end of the sampling with a YYMMDD format.

End time

hh:mm format of the time of trap deactivation.

Trapping effort (days)

Number of days that the trap has been activated.

Trapping effort (hours)

Number of hours that the trap has been activated.

Total number of eggs on tongue depressor

Numeric value that refers to the total number of mosquito eggs found on the oviposition substrate (tongue) of the ovitrap.

Mosquito species

The species of mosquitoes identified collected in the trap. Provide the scientific name avoiding abbreviations. Write “Aedes albopictus” instead of “Ae. Albopictus”.

Number per species

Total number of individuals per species captured in the trap. The value must be the sum of the number of females and males captured when the life-stage identified is adult. When using ovitraps we need to use a way to record and analyze the number of eggs for each mosquito species using for that a formula that comprises: the total number of eggs collected, the number of eggs that were selected for a sub-sample and hatched to identified the species in the laboratory from larvae or adults; and finally, the sum of all individuals from the sub-sample that were successfully hatched and analyzed. The formula calculates the proportional representation of hatched individuals from the sub-sample relative to the total number of hatched individuals. It reflects the hatching success and viability of the eggs collected adjusted for the size of the sub-sample analyzed. This value is important for understanding species-specific reproductive success and potential impact on the mosquito population dynamics.

Life-Stage identified

Indicates the life stage of the mosquitoes identified, with options being “adult”, “larva”, or “egg”.

Number of females

Number of females counted in the trap.

Number of males

Number of males counted in the trap.

Number of blood-fed females

Number of blood-fed females counted in the trap.

Data validity

1-invalidates data; 2-Reduces data quality, 3-Add info or interesting observations to interpret results; 4-no comment.

Comment sample

Possible additional comment about the sample.

 

Technical info (English)

Table. The MIReAD metadata field descriptions and examples. Consult the original paper for more details about MIReAD: Rund, S.S.C., Braak, K., Cator, L. et al. MIReAD, a minimum information standard for reporting arthropod abundance data. Sci Data 6, 40 (2019). https://doi.org/10.1038/s41597-019-0042-5

Filed

Details

Recommendations

Example

Contact details

A designated contact person, such as a curator or researcher, who can be reached for inquiries about the data.

Include ORCIDs, email address, institutional website

“Elena Ruíz, 0000-0002-1825-0097; xxxxxxx@ceab.csic.es; www.ceab.csic.es 

General description of the collection set

A concise description of the study, including its objectives, sampling design, and hypotheses, which facilitates browsing across multiple studies.

Key details to include are: Whether the method involves random sampling or continuous monitoring at fixed locations. General time frames and geographic locations of the study. A broad description of the data's origin. Justifications for choices in trap placement and experimental design, when relevant.

Ongoing weekly monitoring of adult mosquito species in the wetlands and rice fields of Parc Natural dels Aiguamolls de l'Empordà across 12 sites, from 2023 to present."

Citations

Include references to related publications, preferably with digital identifiers such as DOI (Digital Object Identifier) or PMID (PubMed Identifier) for easy access and verification.

 

“Ruíz et al. 2024. Spatiotemporal Dynamics of Mosquito Populations in Iberian Wetlands DOI:10.5281/zenodo.1234567”

Species Identification Method

A detailed description of the methods used for species identification: morphological, molecular, AI

It is encouraged to provide details verifying the identification method used, such as a reference to the specific identification key or technique.

“Morphological”

Not present vs zero information

Indication of what gaps, zeros, NA, etc. mean.

For population surveys, it's crucial to distinguish between a species not found when expected (confirmed absence) and a species not searched for due to issues like trap failure.

“Zero indicates a species was looked for and not found. NA represents a trap failure”

GPS information

If raw GPS data is obfuscated, a statement explaining how this was done should be provided.

The most valuable data are those with the highest resolution, such as specific trap locations and exact GPS coordinates, and ideally, no data obfuscation should occur. If obfuscation is necessary, common methods include: Aggregation: Enlarging the areal unit, such as increasing pixel size in a raster and recalculating centroid coordinates. Reducing precision: Decreasing the number of decimal points in GPS coordinates. Dithering: Introducing a degree of error by shifting GPS points by a certain distance.

 

“GPS locations have had precision reduced by truncating to 3 decimals”

Data usage information

The data reuse policy for your data. Please provide a creative commons license identification.

For data to adhere to FAIR. principles and be reusable, it is  recommend using the "CC0" or "CC BY 4.0" licenses. "CC0" allows data to be used without any restrictions, while "CC BY 4.0" permits data usage provided that appropriate attribution is given as specified by the data owner (e.g., citation).

“CC0”

Files

Embargoed

The files will be made publicly available on December 31, 2026.

Reason: working with data for a publication

Additional details

Funding

European Commission
E4Warning - Eco-Epidemiological Intelligence for early Warning and response to mosquito-borne disease risk in Endemic and Emergence settings 101086640

Dates

Collected
2023-01-01
Start of data collection
Collected
2023-12-01
End of first year of data collection
Created
2024-04-01
Curation and creation of first dataset

References