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Space of Optimal Solutions of the Correlation Clustering Problem for Complete Signed Graphs
<p><strong>Description. </strong>This is the data used in the experiments of the following paper:</p> <ul> <li>N. Arınık, R. Figueiredo, and V. Labatut, “Multiplicity and Diversity: Analyzing the Optimal Solution Space of the Correlation Clustering Problem on Complete Signed Graphs,” <em>Journal of Complex Networks </em>8(6):cnaa025, 2020. DOI: <a href="http://doi.org/10.1093/comnet/cnaa025">10.1093/comnet/cnaa025</a> ⟨<a href="https://hal.archives-ouvertes.fr/hal-02994011">hal-02994011</a>⟩</li> </ul> <p>This dataset contains:</p> <ul> <li>Plot files used in the article;</li> <li>Input signed networks;</li> <li>All optimal solutions (i.e. optimal solution space) of the corresponding networks;</li> <li>Evaluation files.</li> </ul> <p><strong>Source code. </strong>The code source is accessible on GitHub: <a href="https://github.com/CompNet/Sosocc">https://github.com/CompNet/Sosocc</a></p> <p><strong>Citation. </strong>If you use the data or source code, please cite the above article.</p> <p><br><code>@Article{Arinik2020,</code><br><code> author = {Arınık, Nejat and Figueiredo, Rosa and Labatut, Vincent},</code><br><code> title = {Multiplicity and Diversity: Analyzing the Optimal Solution Space of the Correlation Clustering Problem on Complete Signed Graphs},</code><br><code> journal = {Journal of Complex Networks},</code><br><code> year = {2020},</code><br><code> volume = {8},</code><br><code> number = {6},</code><br><code> pages = {cnaa025},</code><br><code> doi = {10.1093/comnet/cnaa025},</code><br><code>}</code><br><br></p> <p>--------------------------------------------</p> <p><strong>Details.</strong></p> <p><br><strong># PLOT FILES</strong><br>* `<em>Figure1.zip</em>`: Figures showing that there might be many distinct optimal solutions of a small-sized network.<br>* `<em>Figure2.zip</em>`: Figures showing that distinct optimal solutions of a given network might be partition-wise very similar or different.<br>* `<em>Figure4: All Results.zip</em>`: Figure 4 in the article contains only a few plots regarding the results for space considerations. This zip file contains all plots, and it is organized by the values of `<em>l<sub>0</sub></em>`. In each `<em>l<sub>0</sub></em>` folder, the results are shown in three different perspectives:<br>--- Detected Imbalance Percentage vs Graph Order (i.e. number of vertices)<br>--- Prop mispl vs Graph order<br>--- Graph order vs Prop mispl<br>* `<em>workflow.pdf</em>`: The workflow of the methodology used in the article.<br>* `<em>Syrian network With All Solutions.pdf</em>`: Syrian network (on top) with core part information through node colors, and its optimal solutions in which node colors represent partition information (on bottom).<br> </p> <p><strong>#NETWORKS</strong><br>All networks are in `<em>Input Signed Networks.tar.gz</em>`.<br>Networks are generated through a simple random model (available in <em>https://github.com/CompNet/SignedBenchmark</em>) designed to produce complete (or uncomplete) unweighted networks with built-in modular structure.<br>There are 3 parameters used for the generation:</p> <ol> <li>number of nodes (`<em>n</em>`)</li> <li>initial number of modules (`<em>l<sub>0</sub></em>`)</li> <li>proportion of misplaced links, i.e. proportion of frustrated links, (`<em>q<sub>m</sub></em>`)</li> </ol> <p>Inside `<em>Input Signed Networks.tar.gz</em>`:<br>NETWORKS<br>|__n=NB-NODE_l0=INIT_NB_MODULE_dens=1.0000<br>....|__propMispl=PROP_MISPL<br>........|__propNeg=PROP_NEG<br>............|__network=NETWORK_NO<br><br>- The first hierarchy => the folders are named as follows: n=NB-NODE_l0=INIT-NB-MODULE_dens=1.0000<br>The number of nodes, the initial number of modules and the network density are given. The network density is always 1, since we treat only complete signed networks.<br>- The second hierarchy => the folders are named as follows: propMispl=PROP_MISPL<br>Proportion of misplaced links is given.<br>- The third hierarchy => the folders are named as follows: propNeg=PROP_NEG<br>Proportion of negative links (`<em>q<sub>n</sub></em>`) is specified. `<em>q<sub>n</sub></em>` changes depending on `<em>n</em>` and `<em>l<sub>0</sub></em>`. Since only complete signed networks are studied, this parameter is automatically computed from the other input parameters.<br>- The fourth hierarchy => the folders are named as follows: network=NETWORK_NO<br>Network numbers are shown.<br>In the end, thre are three file formats describing the same network content: GraphML (.graphml), Pajek NET (.net) or .G format.<br><br><strong># PARTITIONS</strong><br>All partition results are in `<em>Partition Results.tar.gz</em>`. Note that all optimal partitions of a signed network are obtained through an exact partitioning method. The code source is accessible here: <em>https://github.com/arinik9/ExCC</em><br>Inside `<em>Partition Results.tar.gz</em>`:<br><br>PARTITIONS<br>|__n=NB-NODE_l0=INIT_NB_MODULE_dens=1.0000<br>....|__propMispl=PROP_MISPL<br>........|__propNeg=PROP_NEG<br>............|__network=NETWORK_NO<br>................|__"<em>ExCC-all</em>"<br>....................|__"<em>signed-unweighted</em>"<br><br>- The first hierarchy => the folders are named as follows: n=NB-NODE_l0=INIT-NB-MODULE_dens=1.0000<br>- The second hierarchy => the folders are named as follows: propMispl=PROP_MISPL<br>- The third hierarchy => the folders are named as follows: propNeg=PROP_NEG<br>- The fourth hierarchy => the folders are named as follows: network=NETWORK_NO<br>- The fifth hierarchy => the folders are named as follows: "<em>ExCC-all</em>"<br>The name of the partitioning method are shown. Since an exact partitioning method is used to obtain all distinct optimal solutions, it is named as "<em>ExCC-all</em>".<br>- The sixth hierarchy => the folders are named as follows: "<em>signed-unweighted</em>"<br>The type of signed networks are shown: signed and unweighted</p> <p>In the end, the partition results are located, and the file names are named as follows: <em>membership.txt</em>. Note that the first partition result number starts from zero.</p> <p> </p> <p><strong># EVALUATIONS</strong><br>Evaluation results related to our plots are in `<em>Evaluation Results.tar.gz</em>. Note that the hierarchy of this folder is the same as that of 'Partitions'. Inside `<em>Evaluation</em><em> Results.tar.gz</em>`:</p> <p>- `Best-k-for-kmedoids.csv`: It contains three columns. 1) the number of solution classes via kmedoids, 2) the best Silhouette score, 3) the best clustering in terms of Silhouette score, which represents solution classes.</p> <p>- `class-core-part-size-tresh=1.00.csv`. It indicates the proportion of core part size for each solution class.</p> <p>- `exec-time.csv`: It indicates the execution time in seconds.</p> <p>- `imbalance.csv`: It contains the information of imbalance as 1) count and 2) percentage</p> <p>- `nb-solution.csv`: It indicates the total number of solutions<br>--------------------------------------------</p> <p>Funding: this research benefited from the support of the Agorantic FR 3621, as well as the FMJH Program PGMO and from the support to this program from EDF-THALES-ORANGE-CRITEO.</p>
Correlative 3D SBFSEM data from: Intermittent bulk release of human cytomegalovirus
<p>Human Cytomegalovirus (HCMV) can infect a variety of cell types by using virions of varying glycoprotein compositions. It is still unclear how this diversity is generated, but spatio-temporally separated envelopment and egress pathways might play a role. So far, one egress pathway has been described in which HCMV particles are individually enveloped into small vesicles and are subsequently exocytosed continuously. However, some studies have also found enveloped virus particles inside multivesicular structures but could not link them to productive egress or degradation pathways.<br>We used a novel 3D-CLEM workflow allowing us to investigate these structures in HCMV morphogenesis and egress at high spatio-temporal resolution. We found that multiple envelopment events occurred at individual vesicles leading to multiviral bodies (MViBs), which subsequently traversed the cytoplasm to release virions as intermittent bulk pulses at the plasma membrane to form extracellular virus accumulations (EVAs). Our data support the existence of a novel bona fide HCMV egress pathway, which opens the gate to evaluate divergent egress pathways in generating virion diversity.</p>
COVID-19 mortality correlation with cloudiness, sunlight, latitude in European countries
<p>"COVID-19 mortality correlation with cloudiness, sunlight, latitude in European countries"</p> <p>Dataset for preprint titled <br> "COVID-19 mortality: positive correlation with cloudiness but no correlation with sunlight and latitude in Europe"<br> https://doi.org/10.1101/2021.01.27.21250658 </p> <p>by SECIL OMER, ADRIAN IFTIME, VICTOR BURCEA</p> <p>Corresponding author: A. Iftime, University of Medicine and Pharmacy "Carol Davila", Biophysics Department, 8 Blvd. Eroii Sanitari, 050474 Bucharest, Romania. Email address: adrian.iftime [at] umfcd.ro.</p> <p> </p> <p>===========<br> Dataset file: <br> 2.0.0.COVID-19_Mortality_Cloudiness_Insolation_EUROPE_March_December_2020.csv</p> <p><br> Dataset graphical preview: <br> 2.0.0.INFOGRAPHIC_CloudFraction_vs_COVID-19_mortality_Europe_March-December_2020.png</p> <p>DATASET:<br> 444 rows (records), with the following fields:</p> <p>"Country" :<br> Country name; 37 European countries included.</p> <p>"Date": <br> Date stamp at the collection time.<br> Data collection was performed in the last day of every month. <br> Date format: YYYY-MM-DD</p> <p>"Month_Key" : <br> Date stamp at the collection time, formatted for easier monthly time series analysis.<br> Date format: YYYY-MM</p> <p>"Month_Fct2020"<br> Date stamp at the collection time,formatted for easier graphing, as a string with names of the months<br> (in English). </p> <p>"Deaths_per_1Mpop" :<br> Monthly mortality from COVID-19 raported in the country, <br> reported as number of COVID-19 deaths per 1 million population of the country, <br> in that particular month / country. <br> NB: it is reported as million population, not patients. </p> <p>"LogDeaths_per_1Mpop" :<br> Log10 transformation of "Deaths_per_1Mpop"</p> <p>"Insolation_Average" :<br> Insolation average (solar irradiance at ground level),<br> in that particular month / country. <br> It is expressed in Watt / square meter of the ground surface. <br> Data derived from data avaialble at NASA Langley Research Center, NASA’s Earth Observatory, <br> CERES / FLASHFlux team, 2020, <br> https://neo.gsfc.nasa.gov/view.php?datasetId=CERES_INSOL_M<br> (old link: https://neo.sci.gsfc.nasa.gov/view.php?datasetId=CERES_INSOL_M )</p> <p>"Cloud_Fraction" :<br> Cloudiness (also known as cloud fraction, cloud cover, cloud amount or sky cover),<br> as decimal fraction of the sky obscured by clouds, <br> in that particular month / country. <br> Data derived from NASA Goddard Space Flight Center, NASA’s Earth Observatory,<br> MODIS Atmosphere Science Team, 2020, <br> https://neo.gsfc.nasa.gov/view.php?datasetId=MODAL2_M_CLD_FR<br> (old link: https://neo.sci.gsfc.nasa.gov/view.php?datasetId=MODAL2_M_CLD_FR )</p> <p>"CENTR_latitude" and<br> "CENTR_longitude" :<br> Latitude and Longitude of the country centroid, for each country. <br> Data derived from Google LLC, "Dataset publishing language: country centroids",<br> https://developers.google.com/public-data/docs/canonical/countries_csv <br> NOTE: This is identical in every month (obviuously); <br> it is redundantly included for easier monthly sectional analysis of the data. </p> <p>===========</p> <p>Versioning of the dataset: <br> MAJOR: changes yearly; 1 = 2020<br> MINOR: changes if new monthly data is added in that particular year. <br> PATCH: Changes only if errors or minor edits were performed. </p> <p><br> ===========<br> CHANGELOG: </p> <p>Version 2.0.0.COVID-19_Mortality_Cloudiness_Insolation_EUROPE_March_December_2020.csv<br> - CERES/FLASHFLUX data for August-December 2020 became available at new links at nasa.gov<br> - These data were gathered, analyzed and introduced in this dataset (2.0.0). <br> - updated links for CERES/FLASHFLUX and MODIS dataset<br> - added DOI link for preprint<br> - minor edits on text. <br> -Dataset file source for this version (internal analysis source file):<br> db_covid_all-ANALYSIS.2020-all-year_versiunea18d.csv</p> <p><br> Version 1.0.0.COVID-19_Mortality_Cloudiness_Insolation_EUROPE_March_August_2020.csv <br> First version<br> Dataset file source for this version (internal analysis source file):<br> db_covid_all-ANALYSIS.2020-09-22_r10.csv</p>
Data from: Unwrapping broken tails: Biological and environmental correlates of predation pressure in limbless reptiles
<p>Studying species interactions in nature often requires elaborate logistics and intense fieldwork. The difficulties in such task might hinder our ability to answer questions on how biotic interactions change with the environment. Fortunately, a workaround to this problem lies within scientific collections. For some animals, the inspection of preserved specimens can reveal the scars of past antagonistic encounters, such as predation attempts. A common defensive behaviour that leaves scars on animals is autotomy, the loss of a body appendage to escape predation. By knowing the collection site of preserved specimens, it is possible to assess the influence of organismal biology and the surrounding environment in the occurrence of autotomy. We produced data on tail loss for 8,189 preserved specimens of 33 snake and 11 amphisbaenian species to investigate biological and environmental correlates of autotomy in reptiles. We applied generalized linear mixed effect models to evaluate whether body size, sex, life-stage, habitat use, activity pattern, biome, tropicality, temperature, and precipitation affect the probability of tail loss in limbless reptiles. We observed autotomy in 23.6% of examined specimens, with 18.7% of amphisbaenian and 33.4% of snake specimens showing tail loss. Probability of tail loss did not differ between snakes and amphisbaenians, but it was higher among large-sized specimens, particularly in adults and females. Chance of tail loss was higher for diurnal and arboreal species, and among specimens collected in warmer regions, but it was unaffected by biome, precipitation, and tropicality. Autotomy in limbless reptiles was affected by size-dependent factors that interplay with ontogeny and sexual dimorphism, although size-independent effects of life-stage and sex also shaped behavioural responses to predators. The increase in probability of tail loss with verticality and diurnality suggests a risk-balance mechanism between species habitat use and activity pattern. Although autotomy is more likely in warmer regions, it seems unrelated to seasonal differences in snakes and amphisbaenians activity. Our findings reveal several processes related to predator-prey interactions involving limbless reptiles, demonstrating the importance of scientific collections to unveil ecological mechanisms at different spatio-temporal scales.</p>
Immunohistochemistry of Multimodal profiling of lung granulomas in macaques reveals cellular correlates of tuberculosis control
<p>(A) Architecture of macaque TB lung granuloma, where lymphocytes and macrophages are present in distinct regions. Immunohistochemistry and confocal microscopy were performed on a granuloma from an animal at 11 weeks post-Mtb infection to visualize localization of CD11c+ macrophages (cyan), CD3+ T cells (yellow), and CD20+ B cells (magenta)</p> <p>(B) Detection of mast cells in a 10-week NHP granuloma using immunohistochemistry, staining for tryptase (green) and c-kit (CD117)(red).</p> <p>(C) Detection of mast cells in a human lung granuloma. Hematoxylin and eosin stain and immunohistochemistry with multinucleated giant cells (stars, (top left) and c-kit (CD117) staining (indicated by arrows, top and bottom right).</p>
Is this Change the Answer to that Problem? Correlating Descriptions of Bug and Code Changes for Evaluating Patch Correctness
<p>Change the absolute path of the files in 'experiment/config' of the github repository to refer to the two downloaded files below.</p> <p>1. ASE2022withTextUnique.zip: the original dataset with patches text and commit messages text.</p> <p>2. ASE_features2_bert.pickle: the feature from Tian et al.'s ASE2020 paper.</p>
Data for the publication "Control of electronic topology in a strongly correlated electron system"
<p>Data sets of the figures in the publication "Control of electronic topology in a strongly correlated electron system"</p>
Data from: Network-based biostratigraphy for the late Permian to mid-Triassic Beaufort Group (Karoo Supergroup) in South Africa enhances biozone applicability and stratigraphic correlation
<p>The Permo-Triassic vertebrate assemblage zones (AZs) of South Africa's Karoo Basin are a standard for local and global correlations. However, temporal, geographical, and methodological limitations challenge the AZs reliability. We analyze a unique fossil dataset comprising 1408 occurrences of 115 species grouped into 19 stratigraphic bin intervals from the <em>Cistecephalus</em>, <em>Daptocephalus</em>, <em>Lystrosaurus</em> <em>declivis</em>, and <em>Cynognathus</em> AZs. Using network science tools we compare six frameworks: Broom, Rubidge, Viglietti, Member, Formation, including a framework suggesting diachroneity of the <em>Daptocephalus</em>/<em>Lystrosaurus</em> AZ boundary (Gastaldo). Our results demonstrate that historical frameworks (Broom, Rubidge) still identify the Karoo AZs. No scheme supports the <em>Cistecephalus</em> AZ, and it likely comprises two discrete communities. The <em>Lystrosaurus</em> <em>declivis</em> AZ is traced across all frameworks, despite many shared species with the underlying <em>Daptocephalus</em> AZ, suggesting the extinction event across this interval is not a statistical artifact. A community shift at the upper Katberg to lower Burgersdorp formations may indicate a depositional hiatus, which has important implications for regional correlations and Mesozoic ecosystem evolution. The Gastaldo model still identifies a <em>Lystrosaurus</em> and <em>Daptocephalus</em> AZ community shift, does not significantly improve recent AZ models (Viglietti), and highlights important issues with some AZ studies. Localized bed-scale lithostratigraphy (sandstone datums), and singleton fossils cannot be used to reject the patterns shown by hundreds of fossils, and regional chronostratigraphic markers of the Karoo foreland basin. Meter-level occurrence data suggest that 20–50 m sampling intervals capture Karoo AZs, unifying the use of meter-level placements of singleton fossils to delineate biozone boundaries and make regional correlations.</p>
Connective Field maps via reverse-correlation
<p>This data set contains processed CF and, where applicable, pRF mapping data for our project investigating the robustness of our CF reverse-correlation methods in the presence of eye movement and optical defocus.</p> <p>There are several participants in this archive. All of them participated in the LaserKiwi experiment in which they engaged in a video game, shooting coronaviruses with their eye gaze. Three participants (P4, P5, P6) also participated in the Unstable Eye experiments in which we used a classical sweeping bar pRF mapping design either with stable eye fixation in the screen centre or at a randomly jumping fixation dot.</p> <p>You will need SamSrf to read these files (version 9.3 recommended). It has been tested on Matlab R2020a & b.</p> <p> </p>
Dataset for "Correlation between sonic pulse velocity and flat-jack tests for the estimation of the elastic properties of unreinforced brick masonry"
<p>This repository contains data from the sonic test experimental campaign carried out in eight structures at various location in Croatia.</p> <p>The data set is structured in 3 levels of folders:</p> <p>- At first level, the 8 folders correspond to the 8 tested buildings.</p> <p>- At second level, for each building, each folder corresponds to a different test location within the building, e.g. "Data FJ1".</p> <p>- At third level, for each location, each folder corresponds to a different setup (i.e. distance and location of hammer and accelerometer), , e.g. "FJ1 1-2".</p> <p>Sonic data are presented in .txt files in three columns corresponding to the time, the hammer (emitter) and the accelerometer (receptor), respectively.</p> <p>Please cite the following related publication:</p> <p>Ortega J, Stepinac M, Lulic L, Nuñez Garcia M, Saloustros S, Aranha C, Greco F, Correlation between sonic pulse velocity and flat-jack tests for the estimation of the elastic properties of unreinforced brick masonry, under review (2022)</p>
Text-fig. 3. Outcrop cross section of the turbidite facies distribution in the Majalengka, correlated northwest to southeast. The progradation pattern indicated by thickening of sandstone into the basin area are shown. F1 – heterolithic sandstone-mudstone 1; F2 – heterolithic sandstone-mudstone 2; F3 – mudstone facies; F4 – heterolithic fine sand and mudstone; F5 – conglomeratic to massive sandstone facies (Muljana 2012). in Lithofacies And Ichnofacies Of Turbidite Deposits, West Java, Indonesia
Text-fig. 3. Outcrop cross section of the turbidite facies distribution in the Majalengka, correlated northwest to southeast. The progradation pattern indicated by thickening of sandstone into the basin area are shown. F1 – heterolithic sandstone-mudstone 1; F2 – heterolithic sandstone-mudstone 2; F3 – mudstone facies; F4 – heterolithic fine sand and mudstone; F5 – conglomeratic to massive sandstone facies (Muljana 2012).
Text-fig. 4. Correlations of the strata in the Urema Graben, the Cheringoma Plateau and other parts of Mozambique proposed by various authors. The positions of fossiliferous units such as the Grudja and Cheringoma formations have been reasonably stable, whereas correlations of other rock units, especially the Mazamba Formation and the volcanics, have varied a great deal. The time scale is from Gradstein et al. (2020). in Stratigraphy, Chronology And Palaeontology Of The Tertiary Rocks Of The Cheringoma Plateau, Mozambique
Text-fig. 4. Correlations of the strata in the Urema Graben, the Cheringoma Plateau and other parts of Mozambique proposed by various authors. The positions of fossiliferous units such as the Grudja and Cheringoma formations have been reasonably stable, whereas correlations of other rock units, especially the Mazamba Formation and the volcanics, have varied a great deal. The time scale is from Gradstein et al. (2020).
Text-fig. 6. Correlation of the Cheringoma and Mazamba formations on the basis of benthic foraminiferans and mammals respectively. Identifications of foraminiferans are from Newton (1924) and Abrard (1928), and the ranges of foraminiferans are from Sella-Kiel et al. (1998). The time scale is from Gradstein et al. (2020). The distribution of Nummulites atacicus is included, but it is not known whether it is reworked from older deposits. If the identification is valid, it would support the thesis that there was a period of Ypresian deposition in the vicinity during which remains of the species were fossilised. in Stratigraphy, Chronology And Palaeontology Of The Tertiary Rocks Of The Cheringoma Plateau, Mozambique
Text-fig. 6. Correlation of the Cheringoma and Mazamba formations on the basis of benthic foraminiferans and mammals respectively. Identifications of foraminiferans are from Newton (1924) and Abrard (1928), and the ranges of foraminiferans are from Sella-Kiel et al. (1998). The time scale is from Gradstein et al. (2020). The distribution of Nummulites atacicus is included, but it is not known whether it is reworked from older deposits. If the identification is valid, it would support the thesis that there was a period of Ypresian deposition in the vicinity during which remains of the species were fossilised.
Text-fig. 1. a: Po Plain and foothills of the Northern Apennine in Northern Italy (inset) with the location of Oriolo (black star) and other Early and Middle Pleistocene plant localities, Enza and Stirone. Red lines indicate the frontal thrust arcs (modified from Martinetto et al. 2015). b: The "La Salita" section, Oriolo and chronology of the two "Sabbie gialle" cycles based on large mammals and palaeomagnetic correlation (modified from Toniato et al. 2017; IMMS 2020* [Italian Mediterranean Marine Stages] updated from Cohen and Gibbars 2020; GTS 2021* [Global Time Scale] updated from Head et al. 2021). c: Quarry "La Salita", Oriolo, in 1987. Main unconformities (U) separating the two "Sabbie gialle" cycles and terrestrial deposits on top are shown. Leaf symbols indicate the positions of some of the layers rich in fossil leaves (photo by G. B. Vai, modified). d: Surroundings of Faenza with the location of Oriolo and adjacent coeval sites yielding plant macrofossils. in The Late Early Pleistocene Flora Of Oriolo, Faenza (Italy): Assembly Of The Modern Forest Biome
Text-fig. 1. a: Po Plain and foothills of the Northern Apennine in Northern Italy (inset) with the location of Oriolo (black star) and other Early and Middle Pleistocene plant localities, Enza and Stirone. Red lines indicate the frontal thrust arcs (modified from Martinetto et al. 2015). b: The "La Salita" section, Oriolo and chronology of the two "Sabbie gialle" cycles based on large mammals and palaeomagnetic correlation (modified from Toniato et al. 2017; IMMS 2020* [Italian Mediterranean Marine Stages] updated from Cohen and Gibbars 2020; GTS 2021* [Global Time Scale] updated from Head et al. 2021). c: Quarry "La Salita", Oriolo, in 1987. Main unconformities (U) separating the two "Sabbie gialle" cycles and terrestrial deposits on top are shown. Leaf symbols indicate the positions of some of the layers rich in fossil leaves (photo by G. B. Vai, modified). d: Surroundings of Faenza with the location of Oriolo and adjacent coeval sites yielding plant macrofossils.
Text-fig. 3. Litho- and biostratigraphic position of fossil floras treated herein, based on lithostratigraphic standard section of upper Oligocene and Miocene in central and eastern Germany (Standke et al. 2010, Escher et al. 2020); only exception from standard section: ** – Thierbach Member restricted to central Germany, replaces Branitz Member in eastern Germany; correlated to global scale of International Chronostratigraphic Chart 2022/02 (Cohen et al. 2013); maximum age ranges of sites/floras indicated by black bars; floristic complexes according to definitions by Mai and Walther 1991 for upper Oligocene, Mai 2000b, 2001b for Miocene; age range of MCO from Steinthorsdottir et al. 2021. in Assessment Of Phytogeographic Reference Regions For Cenozoic Vegetation: A Case Study On The Miocene Flora Of Wiesa (Germany)
Text-fig. 3. Litho- and biostratigraphic position of fossil floras treated herein, based on lithostratigraphic standard section of upper Oligocene and Miocene in central and eastern Germany (Standke et al. 2010, Escher et al. 2020); only exception from standard section: ** – Thierbach Member restricted to central Germany, replaces Branitz Member in eastern Germany; correlated to global scale of International Chronostratigraphic Chart 2022/02 (Cohen et al. 2013); maximum age ranges of sites/floras indicated by black bars; floristic complexes according to definitions by Mai and Walther 1991 for upper Oligocene, Mai 2000b, 2001b for Miocene; age range of MCO from Steinthorsdottir et al. 2021.
Data and code for Coherent Correlation Imaging: Resolving fluctuating states of matter
<p>Data and code to generate the figures in the main text and the Extended data figures.</p>
Supplementary material 4 from: Dawson W, Keser L, Winter M, Pyšek P, Kartesz J, Nishino M, Fuentes N, Chytrý M, Celesti-Grapow L, van Kleunen M (2013) Correlations between global and regional measures of invasiveness vary with region size. NeoBiota 16: 59-80. https://doi.org/10.3897/neobiota.16.4351
Spearman's ρ correlation coefficients (and bootstrapped, bias-corrected 95% confidence intervals) of relationships between GCW-derived invasiveness measures with 'weed-only' non-target region references included, and regional measures of species abundance and distribution from vegetation plot data in the Czech Republic and Montana.
Supplementary material 1 from: Dawson W, Keser L, Winter M, Pyšek P, Kartesz J, Nishino M, Fuentes N, Chytrý M, Celesti-Grapow L, van Kleunen M (2013) Correlations between global and regional measures of invasiveness vary with region size. NeoBiota 16: 59-80. https://doi.org/10.3897/neobiota.16.4351
Description of GCW areas used as as measure of invasiveness, based on references in the Global Compendium of Weeds recording a species in a particular global area. The number of references in the Global Compendium of Weeds referring to each global area is listed, along with the countries (or regions) covered.
Correlation between noise and vegetation in urban areas
<p>Analysis of correlation between vegetation and noise in urban areas.</p> <p>DOI article: 10.22541/au.150651402.23622693</p> <p> </p>
Research data supporting "Correlated heterospectral lipidomics for biomolecular profiling of remyelination in multiple sclerosis"
<p>Research data supporting the paper:</p> <p>Bergholt, M.S. et al., "Correlated heterospectral lipidomics for biomolecular profiling of remyelination in multiple sclerosis", ACS Central Science, 2017, DOI: 10.1021/acscentsci.7b00367.</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.