DATA TYPES in focus for this Data Call:

SOGEO_001 Soil inventory – geological characterization; SOATM_027 Meteorology; SOBIO_017 Vegetation composition; SOBIO_096 Surface water – Algae; SOHYD_004 Physical/chemical characteristics standing waters; SOHYD_168 Soil water content and temperature; Other data: indicate any other data sets you would like to mobilize in the expression of interest form 

SUBMIT YOUR DATA: Within the data call you are submitting your interest to contribute with data (deadline: 18.11.2024), which has to be mobilized towards the eLTER Digital Asset Registry (DAR) during the project period (06.12.2024 – 31.10.2025). Please refer to the GUIDELINES before using the EXPRESSION OF INTEREST form.

For detailed information also refer to the eLTER Data Call Wiki Page

As part of the COST action 3DForEcoTech and COST SNSF project, we aim to establish an international collaboration and create the first database for the detection of individual tree species.

We are seeking:

• manual tree species canopy delineations.
• aerial RGBI (red, green, blue, and near infrared) or RGB imagery data for the delineated tree species from around the world.

The TreeAI database will serve as the foundation for training a universal deep-learning model for monitoring tree species using fine-grained aerial data.

We are also looking for:

• people with experience in deep learning for object detection or instance segmentation.
• people who are willing to contribute to the writing of the manuscripts.

Glaciological mass balances (point and glacier-wide), glacier front variations, and glacier changes in area, elevation, and volume from geodetic surveys. Also special events such as glacier surges, avalanches, or lake outburst floods.

You are kindly invited to submit your data to WGMS via its National Correspondents. For further information, please see here. 

The compiled glacier fluctuations data (together with reference to principal investigators, sponsoring agencies, and literature references) will be published in our open and free data products.

Glacier outlines should be submitted to GLIMS, and glacier photos to the NSIDC Glacier Photograph Collection. 

It is expected that proposals provide a clear added value to at least one of the general objectives and corresponding core themes of the AGROECOLOGY partnership under which framework this co-funded call is being conducted. It is strongly recommended that applicants consider the strategic research and innovation agenda (SRIA)7 underpinning AGROECOLOGY when developing the project idea.

Biodiversity Genomics Europe (BGE) is looking for partners to engage in an exciting pan-European project on pollinators in gardens and agricultural areas. It involves setting a pair of Malaise traps, one in an agricultural field and another in a nearby large garden, during five consecutive weeks in spring/summer 2024.

The procedure is repeated throughout the sampling season in at least three areas. We will provide Malaise traps! Details available in our Pollinator Communities sampling SOP.

Call for at least 5 Associated Regions  that we can provide with technical assistance to use the outcomes and knowledge of Restore4Life to prepare roadmaps, plans, and projects to restore wetland ecosystems in their region.

1. Long term Information on one or more of the following: bacterioplankton, phytoplankton, macrophyte, zooplankton, invertebrate, fish, bird, and mammal data from European marine ecosystems

2. Minimum number of sampling years: 8 (not necessary consecutive years)

3. Sampling location of the respective taxa group did not change over time (but may vary between taxa groups)

4. No change in season (= any three consecutive months), sampling method and taxonomic resolution over the observation period

5. Taxa lists with abundance data (abundance, relative abundance, coverage, density, etc.)

6. Sampling locations needs to be within the limits of the map 

1. Site information: 
   latitude, longitude, elevation (in respect to sea level [m]), land cover

2. Meteorological data: 
   yearly Precipitation in mm (accumulated based on gap-free data); yearly Potential Evapotranspiration (PET) in mm (accumulated based on gap-free data) derived from Penman Monteith; yearly Actual Evapotranspiration in mm (accumulated based on gap-free data) measured at the site (e.g., Eddy Covariance, Bowen ratio method or lysimeters)

IF PET is not available, please provide:

Maximum daily air temperature at 2 m height [°C],
Tmin = Minimum daily air temperature at 2 m height [°C],
Tmean = Minimum daily air temperature at 2 m height [°C],
Pressure = average atmospheric pressure [kPa] (If atmospheric pressure is missing, we will make predictions based on elevation.)
alpha = albedo or canopy reflection coefficient [dimensionless],
Rs = The incoming solar radiation [MJ m-2 day-1]. (If it is missing, we will predict it based on Tmax and Tmin and extraterrestrial radiation (Ra). The latter itself will be predicted based on the solar constant (Gsc = 0.0820), Latitude [rad], day of year, and number of days in the year.)

Uz = wind speed [m/s] measured at mH metre height
mH = measurement height of wind speed
RHmax = maximum relative humidity (%)
RHmin = minimum relative humidity (%)
RHmean = Mean relative humidity (%)
If all or part of the humidity data is missing or the quality is poor, we will make predictions based on the temperature data.

If the annual AET and P values are also not calculated due to data gaps, please provide us with the daily data of AET and P so that we can fill in the gaps and then make our own annual calculations.

1. Plant functional type (grasses, small herbs, tall herbs, legumes) composition e.g. in % based on biomass, plant numbers, or cover etc.

ADDITIONAL IF AVAILABLE 

1. Additional grassland observations (time-series with exact dates of measurements) of aboveground biomass yield, vegetation height, etc. 

2. Additional site information: daily weather variables, explicit management information, soil attributes and/or variables or 

3. Additional background information: Grazing, Irrigation, Experimental designs (e.g. sowing details, ...), Experimental manipulations (e.g. weeding, CO2 fertilization, ...)

1. Plant community composition at a site (presence and abundance of plant species);

2. Time since restoration (in years);

3. Restoration practices used at the site (e.g., reseeding vs. abandonment)