Find research datasets worth reusing

opencc-by-4.0May 2020View details →

Introduction to ACERR Ingest Process

This presentation by Catherine Bourne was part of the session "Introducing the Arts and Culture in Education Research Repository" at the <a href="http://www.nuigalway.ie/osw/">Open Scholarship Week 2020</a> organised by NUI Galway. It can be viewed at <a href="https://nuigalway.mediaspace.kaltura.com/media/Introducing+the+Arts+and+Culture+in+Research+Repository/1_qme2occv/121659351">https://nuigalway.mediaspace.kaltura.com/media/Introducing+the+Arts+and+Culture+in+Research+Repository/1_qme2occv/121659351.</a> In this presentation Catherine Bourne walks through the process of ingesting an object into a <a href="https://dri.ie/">DRI </a>(Digital Repository of Ireland) collection step-by-step. <a href="https://twitter.com/catpennybourne?lang=en">Catherine Bourne </a>is a visual artist, curator and researcher who has a background in arts management and has worked in the Irish and international arts sector for many years in both a creative and administrative capacity. She has previously directed the <a href="https://www.bristolbiennial.org/">Bristol Biennial</a>, UK as well as working at the <a href="https://www.malakta.fi/">Malakta Art Factory</a>, Finland and the <a href="https://acca.melbourne/">Australian Centre for Contemporary Art</a>. Catherine holds several postgraduate degrees in art, fine art and digital humanities and is currently completing a PhD at UCC, Ireland.

openother-openMay 2020View details →

Orthographic and phonological processing in Hong Kong deaf readers: Data and R Scripts

This data was reported on in an article titled "Orthographic and phonological processing in Hong Kong deaf readers: An eye-tracking study."

opencc-zeroMay 2020View details →

Data from: Combinatorial signal processing in an insect

Human language is combinatorial: phonemes are grouped into syllables, syllables into words, and so on. The capacity for combinatorial processing is present to different degrees in some mammals and birds. We tested for basic combinatorial processing in an insect against two competing hypotheses: beginning rule (where the early signal portions play a stronger role in acceptability); and no rule (where the order of signal elements plays no role in signal acceptability). We worked with Enchenopa treehoppers, whose vibrational signals consist of a whine (W) followed by pulses (P). The combinatorial rule hypothesis predicts females will prefer any stimuli containing the natural-combination (WP or PWP) over reverse-order stimuli (PW). The beginning rule hypothesis predicts that females will prefer stimuli with natural beginnings (WP or W) over stimuli with modified beginnings (PW or PWP). The no rules hypothesis predicts no preferences in stimuli acceptability. In playback experiments using laser vibrometry, females preferred natural-combination signals regardless of the beginning element (WP or PWP) and discriminated against reverse-order signals (PW) or individual elements (W or P). Finding support for the combinatorial rule hypothesis in insects suggests that this capability represents a common solution to the problems presented by complex communication.

opencc-by-4.0Mar 2020View details →

fMRI data of morphological processing in Hebrew dyslexic and typical readers

see the attached documentation file

opencc-by-4.0Jun 2020View details →

Data Accompanying "Fracturing process of concrete under uniaxial and triaxial compression: insights from in-situ x-ray mechanical tests"

These are the datasets analysed in "Fracturing process of concrete under uniaxial and triaxial compression: insights from in-situ x-ray  mechanical tests" by Stamati et. al. (submitted on June 2020 in Cement and Concrete Research) The datasets contain the reconstructed x-ray 3D images of selected tests and the corresponding DVC analysis. Note that details regarding the DVC analysis can be found in the paper. <ul> <li>Each folder contains a separate test; uniaxial compression ("C-02") and triaxial compression at 5MPa ("TX5-01"), 10MPa ("TX10-01") and 15MPa ("TX15-01") confining pressures.</li> <li>For each test, folder 01 contains the first scan, where 01 is the reference state for the DVC analyis. Folder 01 also contains the image of the labelled largest aggregates used for the discrete DVC. Folrders 02-XX contain the scans at intermediate loading steps and the corresponding DVC analysis; "reg" contains the registration result in downscaled 2-binning images. "ddic" contains the discrete DVC computation. "ldic" contains the local DVC computation, before and after the merge and filtering of the grid and discrete DVC fields. "strains" contains the strain fields coming from the corrected merged DVC field.</li> <li>Folder "stressStrain" contains the stress-strain curves measured during the tests after subtracting the displacement corresponding to the loading system.</li> <li>Folder "doubleScanUniaxial" contains the two reconstructed images of the "repeated scan" of the uniaxial tests, from which the DVC measurement uncertainties were evaluated.</li> </ul>

Alzheimer's Disease versus Bipolar Disorder versus Health Control MRI data and processed results

README The data is structured as follows: Clinical_data folder contains the .csv that can be read by spreadsheet software, as well as from Python, Matlab or R. There are separate files for each biomarker. The file "clinical_data_id_age_gender.csv" contains the numerical random key of the patient for anonymity, diagnostic key, age and gender for each entry in the other files. The file "clinical_data_corrected.csv" can be ignored. Diagnostic keywords: "crl" == healthy control, "tb" == bipolar disorder, "ea" == Alheimer's disease Imaging data is nifti encoded. The name of the file starts with the diagnostic key followed by the numerical random key and some nemotechnic for the contents. For instance: "crl_132_diff_dti_FA_FA_to_target.nii.gz" is the spatially normalized FA data of healthy control 132. Imaging data can be read with FSL, SPM, and any other nifti reading soft. Imaging folders contain the following data DWI_origin - > the original diffusion weighted MRI data and their corresponding b-vector values FA - > the FA coefficients computed using FSL FA_to_target - > the FA volumes registered to MNI template using FSL tools T1_preprocessed - > the T1-weighted volumes at 1mm resolution registered to the MNI template using FSL no-linear registration tools T1_VBM_SPM_1mm - > the results of applying SPM implementation of voxel based morphometry (VBM) on the T1-weighted data, including results of the correlation between biomarkers and the detected clusters . Results can be checked using SPM (https://www.fil.ion.ucl.ac.uk/spm/) TBSS_results -> contains track based spatial statistics (TBSS) results obtained with FSL software (https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/TBSS)   Publications using this dataset M. Graña, M. Termenon, A. Savio, A. Gonzalez-Pinto, J. Echeveste, J. M. Pérez, A. Besga, Computer Aided Diagnosis system for Alzheimer Disease using brain Diffusion Tensor Imaging features selected by Pearson’s correlation,  Neuroscience letters,Volume 502, Issue 3, 20 September 2011, Pages 225-229 A. Besga, M. Termenon, M. Graña, J. Echeveste, J. M. Perez, A. Gonzalez-Pinto "Discovering Alzheimer's disease and bipolar disorder white matter effects building computer aided diagnostic systems on brain diffusion tensor imaging features, Neuroscience Letters, Volume 520, Issue 1, 27 June 2012, Pages 71–76. M. Termenon, M. Graña, A. Besga, J. Echeveste, A. Gonzalez-Pinto, Lattice Independent Component Analysis feature selection on Diffusion Weighted Imaging for Alzheimer’s Disease Classification, Neurocomputing (2013) Volume 114, 19 August 2013, Pages 132–141 Ariadna Besga, Itxaso González-Ortega, Enrique Echeburúa, Alexandre Savio, Borja Ayerdi, Darya Chyzhyk, Jose LM Madrigal, Juan C. Leza, Manuel Graña, Ana González-Pinto,  "Discrimination between Alzheimer’s Disease and Late Onset Bipolar Disorder using multivariate analysis" Frontiers in Aging Neuroscience, 7:231 Ariadna Besga-Basterra, Darya Chyzhyk, Itxaso González-Ortega, Alexandre Savio, Borja Ayerdi, Jon Echeveste, Manuel Graña, Ana González-Pinto,  Eigenanatomy on fractional anisotropy imaging provides white matter anatomical features discriminating between Alzheimer’s Disease and Late Onset Bipolar Disorder, Current Alzheimer Research, 13(5): 557 - 565 (2016) Ariadna Besga, Darya Chyzhyk, Itxaso Gonzalez Ortega, Jon Echeveste, Marina Grana-Lecuona, Manuel Grana, Ana González-Pinto, White Matter Tract Integrity in Alzheimer’s Disease versus Late Onset Bipolar Disorder and its Correlation with Systemic Inflammation and Oxidative Stress Biomarkers, Frontiers in Aging Neuroscience, 9:179 (2017)

opencc-by-4.0Nov 2017View details →

InSAR stack of Kuju volcano in Kyushu, Japan from ALOS ascending track 422 processed with ROI_PAC

A stack of unwrapped interferograms on Kuju volcano, Kyushu, Japan Sensor: ALOS PALSAR ascending track 422 frame 650 Time: 2007.01.06 - 2011.01.17, 24 acquisitions, 167 interferograms Processor: ROI_PAC Tropospheric delay estimated from ERA-5 using PyAPS is attached. This is an input dataset for the time series analysis with <a href="https://github.com/insarlab/MintPy/">MintPy</a>.

Isotopic and GDGTs analysis of methane-related biological processes (methane production and oxidation) in a Miocene sedimentary pool

Methane is one of the most important greenhouse gases. A substantial proportion of this gas originates from marine environments where both its biological formation and oxidation occur. Variations in seawater properties due to climatic perturbations are likely to be reflected in the living conditions of both methanotrophic and methanogenic microbiota. The debate about the fate of the marine methane cycle facing global change may benefit from the inclusion of data concerning marine palaeoenvironments, especially salt-bearing sediments, which are a relic of the evaporitic sea. The study presents a GDGT-derived palaeorecord of methane-related biological processes in Miocene Wieliczka Formation sediments (a remnant of the Paratethys sea) as well as a description of present-day microbial communities subsisting in evaporates using  activity measurements and high throughput sequencing. The results revealed that GDGT-based indices corresponded with the reconstructed sedimentary conditions and microbial ecophysiology which confirms their applicability of reconstruction for biological methane formation and oxidation in saline environments.

Output of Tax4Fun of predicted functional profiles. KO IDs and a KO abundance in every samples after a process of normalization.

Supplementary Material Chapter 1.   Table # 3: Output of Tax4Fun of predicted functional profiles. KO IDs and a KO abundance in every samples after a process of normalization.

Data for: Wintertime coastal upwelling in Lake Geneva: An efficient transport process for deep-water renewal in a large, deep lake

Combining field measurements, 3D numerical modeling and Lagrangian particle tracking, we investigated wind-driven, Ekman-type coastal upwelling during the weakly stratified winter period 2017/2018 in Lake Geneva, a large and deep lake in western Europe. The data include measurements from moored Acoustic Doppler Current Profilers (ADCP) and vertical temperature profiles along with the corresponding 3D modeling and particle tracking results. The three-dimensional model used in this study is based on the MIT General Circulation Model (MITgcm, http://mitgcm.org/, https://doi.org/10.1029/96JC02775). The particle tracking code is based on ctracker (https://doi.org/10.5281/zenodo.1034118).

opencc-zeroJul 2020View details →

Data from: Along with intraspecific functional trait variation, individual performance is key to resolving community assembly processes

<ol> <li>Species contributing high proportions to community biomass strongly influence ecosystem processes within the community. Studies have shown that dominant species may serve as nurse plants, helping to ensure biomass stability of the subordinate species under stress conditions. The question is widely debated as to whether either niche differentiation or neutral processes drive the net outcome of plant interactions within a subordinate plant community. To answer this question, requires precise estimates of individual variation in functional traits and performance.</li> <li>In a five-year mesocosm experiment, the functional responses of a subordinate plant community to the removal of the dominant species were evaluated across two drought-stress scenarios. Small scale (i.e., large pots) wetland communities were constructed comprising one dominant species (Carex elata) and three subordinate species. Removal of the dominant species allowed evaluation of the net effects of drought and interspecific interactions. We estimated the functional divergences for three traits (specific leaf area, leaf dry matter content and height growth allocation) and compared these with performance differences quantified individually. This enabled distinctions to be made between deterministic (i.e., niche differentiation) and neutral processes driving the drought response of the subordinate community.</li> <li>We showed that the dominant species decreased relative performance differences within the subordinate plant community under conditions of permanent drought stress. These changes were associated with the convergence of traits related to resource acquisition and growth. The dominant species equalised species performance differences by supressing relatively drought-tolerant species with low competitive ability and by supporting the less drought-tolerant species with relatively high competitive ability. Meanwhile, under conditions of interannual drought, the subordinate species likely coexisted due to differentiation in resource-use strategies and the interaction with the dominant species.</li> <li>Inclusion of individual variation in performance with a functional trait approach provides valuable insights into the processes structuring plant communities. Ours is the first study to provide evidence that subordinate species exposed to drought may coexist via neutral processes arising from their interactions with the dominant species, leading to functional convergence of traits associated with the trade-off between stress tolerance and competitive ability.</li> </ol>

Data from: Dissecting the genetic architecture of a stepwise infection process

How a host fights infection depends on an ordered sequence of steps, beginning with attempts to prevent a pathogen from establishing an infection, through to steps that mitigate a pathogen's control of host resources, or minimising the damage caused during infection. Yet empirically characterising the genetic basis of these steps remains challenging. Although each step is likely to have a unique genetic and environmental signature, and may, therefore, respond to selection in a specific way, events that occur earlier in the infection process can mask or overwhelm the contributions of subsequent steps. In this study, we dissect the genetic architecture of a stepwise infection process using a quantitative trait loci (QTL) mapping approach. We control for variation at the first line of defence against a bacterial pathogen and expose downstream genetic variability related to the host's ability to mitigate the damage pathogens cause. In our model, the water-flea Daphnia magna, we found a single major effect QTL, explaining 64% variance, that is linked to the host's ability to completely block pathogen entry by preventing their attachment to the host oesophagus; consistent with the detection of this locus in prior studies. In susceptible hosts allowing attachment, however, a further 23 QTL, explaining between 5 to 16% variance, were mapped to traits related to the expression of disease. The general lack of pleiotropy and epistasis for traits related to the different stages of the infection process, together with the wide distribution of QTL across the genome, highlights the modular nature of a host's defence portfolio, and the potential for each different step to evolve independently. We discuss how isolating the genetic basis of individual steps can help resolve discussion over the genetic architecture of host resistance.

Integrating floral trait and flowering time distribution patterns help reveal a more dynamic nature of co-flowering community assembly processes

Species' floral traits and flowering times are known to be the major drivers of pollinator-mediated plant-plant interactions in diverse co-flowering communities. However, their simultaneous role in mediating plant community assembly and plant-pollinator interactions is still poorly understood. Since not all species flower at the same time, inference of facilitative and competitive interactions based on floral trait distribution patterns should account for fine phenological structure (intensity of flowering overlap) within co-flowering communities. Such an approach may also help reveal the simultaneous action of competitive and facilitative interactions in structuring co-flowering communities. Here we used modularity within a co-flowering network context, as a novel approach to detect convergent and/or over-dispersed patterns in floral trait distribution and pollinator sharing. Specifically, we evaluate differences in floral trait and pollinator distribution patterns within (high temporal flowering overlap) and among co-flowering modules (low temporal flowering overlap). We further evaluate the consistency of observed floral trait and pollinator sharing distribution patterns across space (three geographic regions) and time (dry and rainy seasons). We found that floral trait similarity was significantly higher in plant species within co-flowering modules than in species among them. This suggests pollinator facilitation may lead to floral trait convergence, but only within co-flowering modules. However, our results also revealed seasonal and spatial shifts in the underlying interactions (facilitation or competition) driving co-flowering assembly, suggesting that the prevalent dominant interactions are not static. Synthesis: Overall, we provide strong evidence showing that the use of flowering time and floral trait distribution alone may be insufficient to fully uncover the role of pollinator-mediated interactions in community assembly. Integrating this information along with patterns of pollinator sharing will greatly help reveal the simultaneous action of facilitative and competitive pollinator-mediated interactions in co-flowering communities. The spatial and temporal variation in flowering and trait distribution patterns observed further emphasize the importance of adopting a more dynamic view of community assembly processes.

Reliably predicting pollinator abundance: challenges of calibrating process-based ecological models

1. Pollination is a key ecosystem service for global agriculture but evidence of pollinator population declines is growing. Reliable spatial modelling of pollinator abundance is essential if we are to identify areas at risk of pollination service deficit and effectively target resources to support pollinator populations. Many models exist which predict pollinator abundance but few have been calibrated against observational data from multiple habitats to ensure their predictions are accurate. 2. We selected the most advanced process-based pollinator abundance model available and calibrated it for bumblebees and solitary bees using survey data collected at 239 sites across Great Britain. We compared three versions of the model: one parameterised using estimates based on expert opinion, one where the parameters are calibrated using a purely data-driven approach and one where we allow the expert opinion estimates to inform the calibration process. 3. All three model versions showed significant agreement with the survey data, demonstrating this model's potential to reliably map pollinator abundance. However, there were significant differences between the nesting/floral attractiveness scores obtained by the two calibration methods and from the original expert opinion scores. 4. Our results highlight a key universal challenge of calibrating spatially-explicit, process-based ecological models. Notably, the desire to reliably represent complex ecological processes in finely mapped landscapes necessarily generates a large number of parameters, which are challenging to calibrate with ecological and geographical data that is often noisy, biased, asynchronous and sometimes inaccurate. Purely data-driven calibration can therefore result in unrealistic parameter values, despite appearing to improve model-data agreement over initial expert opinion estimates. We therefore advocate a combined approach where data-driven calibration and expert opinion are integrated into an iterative Delphi-like process, which simultaneously combines model calibration and credibility assessment. This may provide the best opportunity to obtain realistic parameter estimates and reliable model predictions for ecological systems with expert knowledge gaps and patchy ecological data.

Data for Analysis of Keystone Predation - trait based or driven by extrinsic processes?

Keystone predation can be a determinant of community structure, including species diversity, but factors underlying "keystoneness" have been minimally explored. Using the system in which the original keystone, the sea star Pisaster ochraceus, was discovered, we focused on two potential (but overlapping) determinants of keystoneness: intrinsic traits or state variables of the species (e.g., size, density), and extrinsic environmental parameters (e.g., prey productivity) that may provide conditions favorable for keystone predator evolution. Using a comparative-experimental approach, with repeated field experiments at multiple sites across a variable coastal environment, we tested predation rates, or how quickly predators consumed prey, and predation effects, or community response to predator presence or absence. We tested five hypotheses: (H1) predation rates and effects will vary in space but not time; (H2) per population predation rates will vary primarily with individual traits and population variables; (HJHH3) per capita predation rates will vary only with individual traits; (H4) predation effects will vary with traits, variables, and external drivers; and (H5) as predicted by the keystone predation hypothesis, diversity will vary unimodally with predation pressure. As hypothesized, predation rates differed among sites but not over time (H1), and in caging exclusion experiments, predation effect varied with both intrinsic and extrinsic factors (H4). Unexpectedly, predation rates varied with both intrinsic and extrinsic (H2, per population), or only with extrinsic (H3, per capita) factors. Further, in large-plot exclusion experiments, predation effect was most closely associated with individual traits (contra H4). Finally, taxon diversity varied unimodally with proxies of predation pressure (sessile prey abundance) and was sensitive to extrinsic factors (mussel growth, temperature, and upwelling) (H5). Hence, keystoneness depended on predator individual traits, predator population variables, and environmental parameters. However, temporal differences in caging experiments suggested that environmental characteristics underlying prey dynamics may be preeminent. Compared to prior experiments, predation was weaker with low prey input compared to periods with high prey input. Collectively, our results suggest that keystone predator evolution depends on the coalescence of species-specific characteristics, and environmental parameters favoring high prey productivity. Our approach may be a model for future studies exploring the generality of keystoneness.

The relationship between a combinatorial processing rule and a continuous mate preference function in an insect

Mate choice involves processing signals that can reach high levels of complexity and feature multiple components, even in small animals with tiny brains. This raises the question of whether and how such organisms deal with this complexity. One solution involves combinatorial processing, whereby different signal elements are processed as single units. Combinatorial processing has been described in several mammals and birds, and recently in a vibrationally signalling insect, Enchenopa treehoppers. Here, we ask about the relationship between combinatorial rules and mate preferences for continuously varying signal features. Enchenopa male advertisement signals are composed of two elements: a 'whine' followed by a set of pulses. The dominant frequency of the whine and element combination both matter to females. We presented synthetic signals varying in element order (natural [whine-pulses], reverse [pulses-whine]) and in frequency to Enchenopa females and recorded their responses. The reverse combination resulted in a decrease in attractiveness of the signals, and also slightly changed the shape of the preference for frequency. We found that females could be classified into three 'types': females with both a strong preference and a strong combinatorial rule, females with both a weak preference and weak rule and females with a strong preference but a weak rule. Our results suggest that in Enchenopa signal processing, the mate preference for a continuous signal feature 'takes precedence' over, but also interacts with, the combinatorial rule. The relationship between the preference and the rule could evolve to take different forms according to selection on mate choice decisions. We suggest that exploring the relationship between such preferences and rules in species with more complex signals will bring insight into the evolution of the multi-component communication systems.

Data from: Visualizing mineralization processes and fossil anatomy using synchronous synchrotron X-ray fluorescence and X-ray diffraction mapping

Fossils, including those that occasionally preserve decay-prone soft-tissues, are mostly made of minerals. Accessing their chemical composition provides unique insight into their past biology and/or the mechanisms by which they preserve, leading to a series of developments in chemical and elemental imaging. However, the mineral composition of fossils, particularly where soft-tissues are preserved, is often only inferred indirectly from elemental data, while X-ray diffraction that specifically provides phase identification received little attention. Here, we show the use of synchrotron radiation to generate not only X-ray fluorescence elemental maps of a fossil, but also mineralogical maps in transmission geometry using a two-dimensional area detector placed behind the fossil. This innovative approach was applied to millimetre-thick cross-sections prepared through three-dimensionally preserved fossils, as well as to compressed fossils. It identifies and maps mineral phases and their distribution at the microscale over centimetre-sized areas, benefitting from the elemental information collected synchronously, and further informs on texture (preferential orientation), crystallites size and local strain. Probing such crystallographic information is instrumental in defining mineralization sequences, reconstructing the fossilization environment and constraining preservation biases. Similarly, this approach could potentially provide new knowledge on other (bio)mineralization processes in environmental sciences. We also illustrate that mineralogical contrasts between fossil tissues and/or the encasing sedimentary matrix can be used to visualize hidden anatomies in fossils.

opencc-zeroSep 2020View details →

Anonymized source data files for figures in: Recurrent processes support a cascade of hierarchical decisions

Perception depends on a complex interplay between feedforward and recurrent processing. Yet, while the former has been extensively characterized, the computational organization of the latter remains largely unknown. Here, we use magneto-encephalography to localize, track and decode the feedforward and recurrent processes of reading, as elicited by letters and digits whose level of ambiguity was parametrically manipulated. We first confirm that a feedforward response propagates through the ventral and dorsal pathways within the first 200 ms. The subsequent activity is distributed across temporal, parietal and prefrontal cortices, which sequentially generate five levels of representations culminating in action-specific motor signals. Our decoding analyses reveal that both the content and the timing of these brain responses are best explained by a hierarchy of recurrent neural assemblies, which both maintain and broadcast increasingly rich representations. Together, these results show how recurrent processes generate, over extended time periods, a cascade of decisions that ultimately accounts for subjects' perceptual reports and reaction times.

Processed data of grasshoppers, butterflies and moths for analyses of species trend models for the regional WWF Living Planet Index for Belgium

This archive contains pre-processed datasets used for the analysis of species occupancy models, the results of which were used in the calculation of multi-species indices as part of the regional WWF Living Planet Index for Belgium. The datasets are csv files (comma separated and . as decimal mark).  For each species group (moths, butterflies and grasshoppers), the following files are available: <ul> <li>a species list (files with 'species' in the name)</li> <li>an observations list (files with 'observations' in the name - for butterfly or moth species with two distinct flight periods, also a file with the data for the second generation is available)</li> </ul> For one species, Fabriciana adippe, separate files are available with corrected data. The species list files contain the following variables: <ul> <li>species_id (unique species id)</li> <li>scientific_name (accepted scientific name according to the GBIF taxonomic backbone)</li> <li>species_name_NL (Dutch species name)</li> <li>species_name_FR (French species name)</li> <li>season_start (n-th day of the year that marks the beginning of the first -and possibly only- generation)</li> <li>season_end (n-th day of the year that marks the end of the first -and possibly only- generation)</li> </ul> The observations files contain the following variables: <ul> <li>species_id (a unique identifier)</li> <li>year (year of observation)</li> <li>month (month of observation)</li> <li>day (day of observation)</li> <li>julian_day (n-th day of the year)</li> <li>site_id (unique identifier for the 1 km x 1km EEA 1 km x 1 km reference grid square <a href="https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-2">https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-2</a>)</li> <li>source (name of data provider)</li> <li>count (max number of sightings for the species for that day and site</li> </ul>