Find research datasets worth reusing

opencc-by-4.0Nov 2022View details →

Figure 3 in A gigantic bizarre marine turtle (Testudines: Chelonioidea) from the Middle Campanian (Late Cretaceous) of South-western Europe

Figure 3. Phylogeneticrelationshipof Leviathanochelysaenigmatica gen. etsp. nov. Simplifiedphylogenetic hypothesis of the relationship of Leviathanochelysaenigmatica within Pan-Chelonioidea based of 20 MPT with 1647 steps according to the Strict Consensus topology. Number under main branching nodes correlate with Bremer support values. Taxa are illustrated according to their time-range occurrence, but not to the timedivergence of the nodes which are tentatively placed according to fossil record evidences.

opencc-by-4.0Jun 2023View details →

20th Century Atmospheric River Archive for Western North America and Europe

General Description This datasets provides 6-hourly instantaneous atmospheric river absence-presence time series for 13 sub-regions along the coastlines of Western North America and Europe, as well the corresponding Integrated Water Vapor (IVT) values and exceeded climatological quantiles. These data were retrieved from 3 distinct reanalyses: 1. ERA-20C, 1900-2010, 1.125 degrees resolution, here termed "era20c" 2. NOAA-CIRES 20th Century Reanalysis version 2, 1900-2012, 2 degrees resolution, here termed "c20", ARs were retrieved from instantaneous ensemble-mean data. 3. ECMWF ERA-Interim, 1979-2014, 0.75 degrees resolution, here termed "interim" The file structure is as in this example: ar_Brands_v0_interim_scalifornia_JFMAOND_1979_2014.nc translates to: ar_<algorithm name>_<version>_<underlying dataset>_<target region as illustrated in fig_studyregions.pdf>_<considered months>_<start year>_<end_year>.nc The 13 study regions are indicated in <fig_studyregions.pdf> attached below and described in Brands et al. (2017). The lat-lon coordinates of each region are provided in the netCDF files. For western North America and Europe the October-through-April and October-through-March season is covered, respectively. The compressed netCDF4 files offered here come with detailed metadata information. For generating the present dataset, the initial version of the AR detection and tracking algorithm developed in my PhD thesis was used (here referred to as version 0, see Brands et al. 2017 for a full description). Although newer algorithm versions have become available in the framework of the Atmospheric River Method Intercomparison Project (ARTMIP, see Rutz et al. 2019), the initial version 0 was specifically developed for detecting landfalling ARs along the coastlines of Western North America and Europe. The correct functioning was supervised by eye for hundreds, if not thousands of cases. The 9 distinct AR detection and tracking methods contained in each netCDF file (coined "method 0,1...8" in there) use distinct climatological percentile thresholds to 1) detect ARs along the coastline (the detection percentile, termed "prct_detect") and then "crawl" upwards the flow guided by the strongest IVT above the tracking percentile ("prct_track") and by the respective U and V components until a minimum length of 2000 km is reached. The results obtained from the 9 methods thus differ in AR intensity. The netCDF files of the present dataset have been recompiled from the non-standard .mat files generated in my PhD thesis during the years 2013-2017. For the target regions in Europe, the content of the present dataset partly overlaps with the non-standard dataset previously published at http://dx.doi.org/10.13140/RG.2.2.14711.32160. The target regions in western North America have been newly included and are only available from the present dataset. Contact: Swen Brands, brandssf@ifca.unican.es   References Brands, S., Gutiérrez, J.M. & San-Martín, D. (2017). Twentieth-century atmospheric river activity along the west coasts of Europe and North America: algorithm formulation, reanalysis uncertainty and links to atmospheric circulation patterns. Climate Dynamics 48, 2771–2795. https://doi.org/10.1007/s00382-016-3095-6 Compo, G.P., Whitaker, J.S., Sardeshmukh, P.D., Matsui, N., Allan, R.J., Yin, X., Gleason, B.E., Vose, R.S., Rutledge, G., Bessemoulin, P., Brönnimann, S., Brunet, M., Crouthamel, R.I., Grant, A.N., Groisman, P.Y., Jones, P.D., Kruk, M.C., Kruger, A.C., Marshall, G.J., Maugeri, M., Mok, H.Y., Nordli, Ø., Ross, T.F., Trigo, R.M., Wang, X.L., Woodruff, S.D. and Worley, S.J. (2011), The Twentieth Century Reanalysis Project. Q.J.R. Meteorol. Soc., 137: 1-28, https://doi.org/10.1002/qj.776 Dee, D.P., Uppala, S.M., Simmons, A.J., Berrisford, P., Poli, P., Kobayashi, S., Andrae, U., Balmaseda, M.A., Balsamo, G., Bauer, P., Bechtold, P., Beljaars, A.C.M., van de Berg, L., Bidlot, J., Bormann, N., Delsol, C., Dragani, R., Fuentes, M., Geer, A.J., Haimberger, L., Healy, S.B., Hersbach, H., Hólm, E.V., Isaksen, L., Kållberg, P., Köhler, M., Matricardi, M., McNally, A.P., Monge-Sanz, B.M., Morcrette, J.-.-J., Park, B.-.-K., Peubey, C., de Rosnay, P., Tavolato, C., Thépaut, J.-.-N. and Vitart, F. (2011), The ERA-Interim reanalysis: configuration and performance of the data assimilation system. Q.J.R. Meteorol. Soc., 137: 553-597, https://doi.org/10.1002/qj.828 Poli, P., and Coauthors, 2016: ERA-20C: An Atmospheric Reanalysis of the Twentieth Century. J. Climate, 29, 4083–4097, https://doi.org/10.1175/JCLI-D-15-0556.1 Rutz, J. J., Shields, C. A., Lora, J. M., Payne, A. E., Guan, B., Ullrich, P., et al. (2019). The Atmospheric River Tracking Method Intercomparison Project (ARTMIP): Quantifying uncertainties in atmospheric river climatology. Journal of Geophysical Research: Atmospheres, 2019; 124: 13777– 13802. https://doi.org/10.1029/2019JD030936

FIGURE 3 in The invasive alien freshwater FLatworm Girardia tigrina (Girard, 1850) (Platyhelminthes, Tricladida) in Western Europe: new insights into its morphology, karyology and reproductive biology

FIGURE 3 Girardia tigrina from Liguria. Photomicrographs of hyperplasic ovaries and testes. A. ZMA V.Pl. 7283.1, hyperplasic ovaries located behind the brain; B. ZMA V.Pl. 7283.1, ectopic hyperplasic ovarian masses located at the level of the copulatory apparatus; C. ZMA V.Pl. 7283.1, magnification of hyperplasic ovaries, with oocytes at different stages of maturation; D. ZMA V.Pl. 7283.1, mature testes with sperm.

FIGURE 1 Girardia tigrina. A in The invasive alien freshwater FLatworm Girardia tigrina (Girard, 1850) (Platyhelminthes, Tricladida) in Western Europe: new insights into its morphology, karyology and reproductive biology

FIGURE 1 Girardia tigrina. A. Geographic range of allochthonous sexual populations (filled circles) and populations with sexualized animals (triangles and asterisk) in the Western Palaearctic; asterisk: population from Liguria investigated in the present study. B. Aquatic plants as preferential shaded microhabitat in a tank at the Botanical Garden of the University of Genoa, Liguria. C. Habitus of a living ex-fissiparous specimen of the Ligurian population. Scale bar not available.

FIGURE 5 Girardia tigrina from Liguria. CGAS Pla 18.1 in The invasive alien freshwater FLatworm Girardia tigrina (Girard, 1850) (Platyhelminthes, Tricladida) in Western Europe: new insights into its morphology, karyology and reproductive biology

FIGURE 5 Girardia tigrina from Liguria. CGAS Pla 18.1, sagittal reconstruction of the copulatory apparatus (anterior to the left).

FIGURE 6 in The invasive alien freshwater FLatworm Girardia tigrina (Girard, 1850) (Platyhelminthes, Tricladida) in Western Europe: new insights into its morphology, karyology and reproductive biology

FIGURE 6 Girardia tigrina from Liguria. Photomicrographs of the copulatory apparatus; sagittal sections. A. ZMA V.Pl. 7283.1, supernumerary penis and the main, fully developed copulatory apparatus; B. CGAS Pla 18.1, copulatory bursa with the bursal canal, penis, male atrium, and common atrium with diverticulum; C. CGAS Pla 18.2, copulatory bursa with the bursal canal, penis, and male atrium.

FIGURE 4 Girardia tigrina from Liguria. ZMA V in The invasive alien freshwater FLatworm Girardia tigrina (Girard, 1850) (Platyhelminthes, Tricladida) in Western Europe: new insights into its morphology, karyology and reproductive biology

FIGURE 4 Girardia tigrina from Liguria. ZMA V.Pl. 7283.1 A. sagittal reconstruction of the two copulatory appara- tuses (anterior to the left); B. sagittal reconstruction of the main copulatory apparatus at the level of the right branch of the bursal canal and the blind cavity (anterior to the left).

publicOct 2024View details →

dryad40/100

Amplified seasonality in western Europe in a warmer world

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opencc-by-4.0Dec 2020View details →

Data belonging to Record high solar irradiance in Western Europe during first COVID-19 lockdown largely due to unusual weather,

This data belongs to the paper Record high solar irradiance in Western Europe during first COVID-19 lockdown largely due to unusual weather, (soon to be) published in Communications Earth & Environment.

openApr 2023View details →

Map of Extant Court Ordinances issued between 1300-1556 in Western- and Central Europe.

Map depicting the collected extant court ordinances issued between 1300 and 1556 at the Noble Courts of Western- and Central Europe. ArcGIS (Esri). Blue dots refer to court ordinances that describe ceremonial life at court. Red dots refer to court ordinances that do not describe ceremonial life at court.See: Miara Fraikin and Meike Wiedemann, 'The "Burgundian Model" revisited: Using Digital Approaches to Explore the Reach of Burgundy', in Sanne Maekelberg and Krista De Jonge (eds.), Mapping the Space of the Early Modern Court in Europe. Functionality and Representation, 2023, pp.13-34.

openApr 2023View details →

Dataset of Extant Court Ordinances issued between 1300-1556 in Western- and Central Europe

List of collected extant court ordinances published between 1300 and 1556 from the princely territories of Western and Central Europe, with a focus on the court ordinances published by the dukes of Burgundy in this period.The dataset makes a subjective distinction between court ordinances that do or do not provide information on ceremonial and spatial regulations of the court.See: Miara Fraikin and Meike Wiedemann, 'The "Burgundian Model" revisited: Using Digital Approaches to Explore the Reach of Burgundy', in Sanne Maekelberg and Krista De Jonge (eds.), Mapping the Space of the Early Modern Court in Europe. Functionality and Representation, 2023, pp.13-34.

opencc-by-4.0Mar 2024View details →

Pl@ntNet-CrowdSWE: Pl@ntNet collaborative learning with South-Western-Europe dataset

This repository contains the files for the Pl@ntNet South Western Europe (SWE) crowdsourced dataset. It contains all species identification and user votes for observations made between 2017 and 2023 in the SWE flora. In total, more than 6 699 593 plant observations are labeld by 823 251 users between january 2017 and october 2023. In addition, 98 experts were selected to obtain ground truth values for 26 811 observations. The structure of the dataset is described below, and a `readme.md` file is available in the record. <h2>In short directory structure</h2> <pre><code>Pl@ntNet SWE dataset ├── answers │ ├── answers.json │ └── ground_truth.txt ├── converters │ ├── tasks.json │ └── classes.json └── aggregation ├── authors.txt ├── ai_classes.json ├── ai_answers.json ├── ai_scores.json └── k-southwestern-europe.json</code></pre> <h2>Crowdsourced data</h2> In the <code>answers</code> folder are located the crowdsourced answers and the associated ground truths. The crowdsourced answers are stored in the <code>answers.json</code> file. It gathers more than 6 million tasks with answers from 823 251 users. It is formatted as a json entry with levels representing the observation ID, the users, and their associated vote for the species label. <pre><code>{ obsID: {userID: vote, userID2: vote,...}, ... }</code></pre> A list of 98 experts was created to gather a partial ground truth in the <code>ground_truth.txt</code> file. Each row represents an observation and the associated class label is the current considered ground truth. This file lets us compute several performance metrics such as the accuracy of the label aggregation. <h2>Converters</h2> In the <code>converters</code> folder, you can find the converters to obtain the Pl@ntNet official observation numbers (the last part of the URL <code>https://identify.plantnet.org/fr/k-world-flora/observations/<id></code>) from the obsID used in <code>answers.json</code>. This is stored in the <code>tasks.json</code> file. A similar dictionary converts the species proposed by users to a single label in {0, 1, 2, ...}. This mapping is stored in <code>classes.json</code>. As plant species can also have synonyms, we release the two files used to clean the user answers. The <code>species.json</code> file contains a list with all the accepted species determinations from the  World Checklist of Vascular Plants. Then, we focused on the SWE flora and replaced synonyms with the underlying species using the <code>k-southwestern-europe.json</code> checklist by Plants Of the World Online (POWO) by Kew’s Royal Botanical Garden. This checklist is written as follows: <pre><code>[ { "species": species name, "synonyms": [ synonym1, synonym2, ... ] }, ... ]</code></pre> <h2>Files to run the Pl@ntNet label aggregation strategy</h2> To run the Pl@ntNet label aggregation strategy available in the <a href="https://peerannot.github.io/" target="_blank" rel="noopener">peerannot library</a>, several other pieces of information are needed and located in the <code>aggregation</code> folder. - First, we need to know for each task which user was the author (if they proposed an initial species determination). This information is stored in the <code>authors.txt</code> dataset, where each row is the obsID and the value is the userID of the author. If the author did not propose any species, this identification is set to -1. - Then, to run the label aggregation strategies taking into account the AI vote, we extend the `classes.json` file with the AI-predicted classes into the <code>ai_classes.json</code> file. Each species is associated with a number, including newly introduced species by the AI. - Then, we need the AI predictions. The AI answers are stored in the <code>ai_answers.json</code> file where each key is the obsID and each value represents the class predicted by the AI. Synonyms were also removed using the <code>k-southwestern-europe.json</code> file. - Finally, for strategies taking into account the prediction score, we release the <code>ai_scores.json</code> file, where each key is the obsID and each value is the probability given for the predicted class.

opencc-by-4.0Dec 2024View details →

Data from: "Distance decay effects predominantly shape spider but not carabid community composition in crop fields in north-western Europe"

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opencc-by-4.0Dec 2023View details →

Inferring Surface NO2 over Western Europe: A Machine Learning Approach with Uncertainty Quantification

The data that serves to substantiate the analysis presented in the article.

opencc-by-4.0Nov 2023View details →

Genotyping measures and population genetic indices for assesing reproductive modes of polyploid Ludwigia grandiflora subsp. hexapetala in western Europe

Raw data used to assess reproductive modes in 53 sampled populations in western Europe (France and northern Spain). Ludwigia grandiflora subsp. hexapetala (Lgh) is a hermaphrodite, polyploid, partially clonal and heteromorphic plant that recently colonized multiple countries worldwide. Individuals in this species are either self-incompatible caused by a late-acting self-incompatible (LSI) system developing long-styled flowers, or self-compatible (SC) developing short-styled flowers. We used a SNP approach allowing confident allele dosage to genotype 53 LSI and SC populations of Lgh in France and northern Spain. We measured their genetic diversity and assessed their reproductive modes using methods adapted to autopolyploid species.

opencc-by-4.0May 2015View details →

Figs 31–32 in Revision of western Palaearctic species of the Oulema melanopus group, with description of two new species from Europe (Coleoptera: Chrysomelidae: Criocerinae)

Figs 31–32. Distributional maps: 31 – O. mauroi sp. nov.; 32 – O. verae sp. nov.

dryad36/100

4500 years of morphological diversification in Western Europe wild boars (Sus scrofa) and the consequences of the Neolithic transition

Evolutionary biologists have recently solicited archaeologists to help document and understand the morphological evolution of animals in response to human activities and, more globally, to help reconstruct the history and significance of the anthropogenic impact on worldwide ecosystems. Artificial selection associated with domestication is the best-known example of a major anthropogenic morphological evolution preserved in the archaeological record. However, the impact of the domestication process and dispersal on the morphological evolution of animals has been far less explored. To fill this gap, we focused on 5,000 years of Neolithic transition in Western Europe – a major anthropogenic ecological disturbance involving landscape modification and the translocation of domestic mammals. Using geometric morphometrics on key phenotypic markers preserved in the archaeological record associated with isotopic studies, we explored how and according to which cultural drivers the Neolithic niche construction has influenced the morphological evolution of wild boars (Sus scrofa). The decoupling of size and shape components from bone morphological variation has facilitated the identification of several processes of phenotypic diversification of Sus scrofa in response to human behaviour during the Neolithic transition in Western Europe.

opencc-zeroDec 2022View details →

FIGURE 7 Girardia tigrina from Liguria. A in The invasive alien freshwater FLatworm Girardia tigrina (Girard, 1850) (Platyhelminthes, Tricladida) in Western Europe: new insights into its morphology, karyology and reproductive biology

FIGURE 7 Girardia tigrina from Liguria. A. Metaphasic plate; B. Karyogram.