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2,288 results for “Periodical”
Publications supported by ELIXIR and ELIXIR Italy (during the periods 2011-2023 and 2015-2023)
<p>Publications supported by ELIXIR and ELIXIR Italy (during the periods 2011-2023 and 2015-2023), retrieved from EuropePMC (Datasome) and curated by ELIXIR Hub and ELIXIR Italy.</p>
Sets of period sets for words of length n.
<p>We consider finite words of length n. Each word has a set of periods, but many words can have the same set of periods. For a definition of a period of a word, see [1]. A set of periods is a subset of the set {0, 1, ..., n-1}, but not all subsets of {0, 1, ..., n-1} are period sets. The set denoted Gamma(n) contains all possible period sets corresponding to at least one word of length n. For a definition of Gamma(n), see references [1] or [2]. For more details see reference [4].</p> <p>The series of text files provide the list of period set, one per line, for Gamma(n), for n = 1, 2, ..., 100.<br>Each line contains a list of integers sorted by increasing value: this list constitutes one period set. The separator symbol is a space. Hence, the number of non-empty lines in a file gives the cardinality of Gamma(n).<br>The period set are sorted by their basic period. For a definition of the notion of basic period, see [1] or [2].</p> <p>The files for n=61, ..., 100, where computed with the incremental algorithm described in [5].</p> <p>The sequence of the cardinalities of the set Gamma(n), is also called, the Number of distinct autocorrelations of binary words of length n, and corresponds to the sequence A005434 in the Encyclopedia of Integer Sequences (EOIS) link [3].</p> <p>The files have generic name formatted as follows: gamma.n.bps<br>where n is the word length, for n = 1, 2, ..., 100.</p> <p><strong>References</strong>:</p> <p>1. Eric Rivals, Sven Rahmann.<br> Combinatorics of Periods in Strings.<br> Proc. 28th International Colloquium on Automata, Languages, and Programming, Lecture Notes in Computer Science vol. 2076, p. 615-26., P. Orejas, P. G. Spirakis, J. van Leuween editors, Springer Verlag, Berlin, 2001.<br> doi: <a title="Publication 1" href="https://doi.org/10.1007/3-540-48224-5_51" target="_blank" rel="noopener">https://doi.org/10.1007/3-540-48224-5_51</a><br>2. Eric Rivals, Sven Rahmann.<br> Combinatorics of Periods in Strings.<br> Journal of Combinatorial Theory - Series A, 104(1), p. 95-113, October 2003<br> doi: <a title="Publication 2" href="https://doi.org/10.1016/s0097-3165(03)00123-7" target="_blank" rel="noopener">https://doi.org/10.1016/s0097-3165(03)00123-7</a><br>3. Entry A005434 from The On-Line Encyclopedia of Integer Sequences.<br> URL: <a title="Sequence entry A005434" href="https://oeis.org/A005434" target="_blank" rel="noopener">https://oeis.org/A005434</a><br>4. Autocorrelation of Strings. A comment on entries A005434 and A045690 of the Encyclopedia of Integer Sequences.<br> URL: <a title="Introduction to period sets (webpage)" href="https://www.lirmm.fr/~rivals/RESEARCH/PERIOD/" target="_blank" rel="noopener">https://www.lirmm.fr/~rivals/RESEARCH/PERIOD/</a><br> 5. Eric Rivals. Incremental computation of the set of period sets. arXiv:2410.12077, 2024. <a title="Publication 5" href="https://doi.org/10.48550/arXiv.2410.12077" target="_blank" rel="noopener">https://doi.org/10.48550/arXiv.2410.12077</a><br><br></p>
Database of GeoNet Broadband and Short Period Stations operating between 2001 and 2021.
<p>A station xml file containing all GeoNet stations from 2001 to 2021. In this version not all channels are included for every station but all channels should be listed. Later updates will expand to include all channels. This includes unlisted stations in the GeoNet station search tool. Data obtained from GeoNet New Zealand Seismograph Network (<a href="https://doi.org/10.21420/G19Y-9D40">https://doi.org/10.21420/G19Y-9D40</a>).</p>
A convection-permitting and limited-area model hindcast driven by ERA5 data: MOLOCH precipitation monthly data for the period 1979-2019
<p>This dataset represents a hindcast of monthly total precipitation for the period 1979-2019. Data were obtained using the convection-permitting MOLOCH model fed by BOLAM and ERA5 data as initial and boundary conditions. For additional details, see the reference below.</p> <p>Citation = "Capecchi V, et al 'A convection-permitting and limited-area model hindcast driven by ERA5 data: precipitation performances in Italy.' Climate Dynamics 61.3 (2023): 1411-1437";</p> <p>Creator_name = "Valerio Capecchi";</p> <p>Contact = "capecchi@lamma.toscana.it";</p> <p>Institute = "LaMMA - Laboratorio di Meteorologia e Modellistica Ambientale per lo sviluppo sostenibile";</p> <p>Geospatial bounds = "longitude: 2.4 to 19.873; latitude: 34.21235 to 49.64985 (Italy and nearby areas)";</p> <p>Grid spacing = "2.5 km";</p> <p>Grid = "506x626"</p>
A convection-permitting and limited-area model hindcast driven by ERA5 data: BOLAM precipitation monthly data for the period 1979-2019
<p>This dataset represents a hindcast of monthly total precipitation for the period 1979-2019. Data were obtained using the BOLAM model fed by ERA5 data as initial and boundary conditions. For additional details, see the reference below.</p> <p>Citation = "Capecchi V, et al 'A convection-permitting and limited-area model hindcast driven by ERA5 data: precipitation performances in Italy.' Climate Dynamics 61.3 (2023): 1411-1437";</p> <p>Creator_name = "Valerio Capecchi";</p> <p>Contact = "capecchi@lamma.toscana.it";</p> <p>Institute = "LaMMA - Laboratorio di Meteorologia e Modellistica Ambientale per lo sviluppo sostenibile";</p> <p>Geospatial bounds = "longitude: -26 to 53.121 by 0.089 degrees_east; latitude: 25.035 to 58.705 by 0.07 degrees_north (the Mediterranean Sea and nearby areas)";</p> <p>Grid spacing = "7 km";</p> <p>Grid = "890x482"</p>
A convection-permitting and limited-area model hindcast driven by ERA5 data: MOLOCH precipitation daily data for the period 1979-2019
<p>This dataset represents a hindcast of daily total precipitation for the period 1979-2019. Data were obtained using the convection-permitting MOLOCH model fed by BOLAM and ERA5 data as initial and boundary conditions. For additional details, see the reference below.</p> <p>Citation = "Capecchi V, et al 'A convection-permitting and limited-area model hindcast driven by ERA5 data: precipitation performances in Italy.' Climate Dynamics 61.3 (2023): 1411-1437";</p> <p>Creator_name = "Valerio Capecchi";</p> <p>Contact = "capecchi@lamma.toscana.it";</p> <p>Institute = "LaMMA - Laboratorio di Meteorologia e Modellistica Ambientale per lo sviluppo sostenibile";</p> <p>Geospatial bounds = "longitude: 2.4 to 19.873; latitude: 34.21235 to 49.64985 (Italy and nearby areas)";</p> <p>Grid spacing = "2.5 km";</p> <p>Grid = "506x626"</p>
Effects of Periodic Normal Stress Oscillations on Frictional Properties of Simulated Natural Fault Gouges under In Situ P-T Conditions
<p>Files named by in a format of "Uxxx_xx_xxMPa_xxC" refer to the original mechanical data recorded during experiment.</p> <p>The compressed package includes the files to perform numerical modeling, modeling results and the experimental data for comparison. To replicate the numerical modeling, readers can open the COMSOL project file (".mph" file) using COMSOL software (version >5.4) then input the parameters for the boundary conditions, such as the temperature, load-point velocity, oscillation amplitude and frequency. </p>
Research data: Continuity Amid Transformation: An Analysis of Pottery Production from the Late La Tène to Early Roman Periods in Eastern Bohemia
<p>Data used in the research presented in the article titled "Continuity Amid Transformation: An Analysis of Pottery Production from the Late La Tène to Early Roman Periods in Eastern Bohemia".</p> <p><strong>Abstract of the article:</strong></p> <p>At the end of the La Tène period and the beginning of the Roman period in the first century BC, society in Central Europe underwent a significant transformation, which included notable changes in pottery production. This transformation is often attributed to the collapse of the social structures of the La Tène period and the arrival of a new population. Pottery production, in particular, is generally considered to have undergone a complete transformation.</p> <p>However, previous studies on this transition have primarily focused on the stylistic analysis of shapes and decorations, as illustrated by the pottery assemblage from Slepotice (Eastern Bohemia). In order to obtain additional data on the transitional period, this study of pottery from Slepotice incorporates analyses of the materials used and the manufacturing process through macroscopic observation, X-ray fluorescence analysis, and thin-section analysis. These analyses provide new insights into the differences in pottery production and distribution during the first century BC.</p> <p>Our research indicates that while the transformation included the collapse of the La Tène socioeconomic network, it did not result in a complete break in the pottery production process.</p> <p>Link to the article: <a href="https://doi.org/10.1016/j.jasrep.2025.105073">https://doi.org/10.1016/j.jasrep.2025.105073</a></p> <p> </p> <p><strong>List of the files:</strong></p> <p>Supplementary Material 1<br>Settlement structure in the vicinity of Slepotice during the La Tène and Roman periods: 1 – Slepotice, 2 – České Lhotice, 3 – Brčekoly, 4 – Chrudim</p> <p>Supplementary Material 2<br>Values of pottery attributes (Mat, InMn, InVar, In, traces left from the shaping process, Po, Vy, and morphological groups) classified based on macroscopic observation</p> <p>Supplementary material 3<br>Schematic classification of rim attributes, illustrating different variants of rim direction (Op), thickening of the upper part of the rim (Oz), and trimming of the lip (Os)</p> <p>Supplementary material 4<br>Attributes of the 30 samples selected for XRF analysis based on macroscopic observation. These attributes include fabric properties, surface treatment, morphological features, and technological traces</p> <p>Supplementary material 5<br>Figures of ceramic samples (with corresponding IDs) from feature 144/1998 showing preserved rims and bases</p> <p>Supplementary material 6<br>Figures of ceramic samples (with corresponding IDs) from feature 355/2001 showing preserved rims</p> <p>Supplementary Material 7<br>Chemical composition of 30 selected samples according to XRF analysis (main oxides in wt%, and elements in ppm)</p> <p>Supplementary Material 8<br>Principal Component Analysis (PCA) results: The scree plot (top left) visualises the proportion of variance explained by each principal component. The biplots (top right and bottom right) illustrate the distribution of samples, with arrows indicating the contribution of specific elements to the observed variance. The dendrogram (bottom left) shows hierarchical clustering of the samples, aiding in the selection of representative samples for thin-section petrographic analysis</p> <p>Supplementary Material 9<br>Relationships between the dating and other attributes of pottery classified based on macroscopic observation. These attributes include fabric properties, surface treatment, morphological features, and technological traces</p> <p>Supplementary Material 10<br>Relationships between the chemical groups (determined by XRF analysis) and pottery attributes classified based on macroscopic observation. These attributes include fabric properties, surface treatment, morphological features, and technological traces</p> <p>Supplementary Material 11<br>Petrography of fabric groups and subgroups, focusing on their properties. The evaluation begins with a general assessment of each fabric group as a whole, followed by a detailed examination of its subgroups</p> <p>Supplementary Material 12<br>Petrographic characterization of ceramics using a semiquantitative scale, simplified for statistical analysis (0.1 – trace, 0.5 – rare, 1 – occasional, 2 – common, 3 – frequent, 4 – abundant, 5 – dominant)</p> <p>Supplementary Material 13<br>Thin-section samples: Description of the ceramic matrix, natural inclusions, and added tempers</p> <p>Supplementary material 14<br>Variations in chemical composition among different fabric groups</p>
Towards new demography proxies and regional chronologies: Radiocarbon dates from archaeological contexts located in the Czech Republic covering the period between 10,000 BC and AD 1250 (dataset)
<p>The dataset was created within the project “<em>Land use, social transformations and woodland in Central European Prehistory. Modelling approaches to human-environment interactions</em>” funded by the Czech Science Foundation (19-20970Y). This dataset represents the largest and the most comprehensive collection of archaeological radiocarbon dates from the Czech Republic to date. The dataset offers 1579 samples from 347 archaeological sites dating from Early Mesolithic (10 000 BC) to Medieval Period (AD 1250). Published in a simple spreadsheet format, the database offers researchers a quick tool for further analyses. It is important to highlight that dates we collected originated only from archaeological contexts, which means that we have excluded some radiocarbon dates produced through palaeoecological research without a direct relationship to past human activities, such as pollen records or samples from fossilized trees in river beds. The dataset is intended to be used for demographic modelling of population numbers during periods without written records, i.e. prehistory.</p>
Statistical characterization of Andalusian wave climate for several combinations of Global Climate Models and Regional Climate Models and periods 2026 - 2045 and 2081 - 2100.
<p>The following text is an extract of the extended abstract entitled "<strong>Parametric Characterization of Wave Climate along the Andalusian Coast for Non-Stationary Stochastic Simulation</strong>" whose authors are Manuel Cobos, Pedro Magaña, Pedro Otiñar and Asunción Baquerizo, and that was included in proceedings of <em>39th IAHR World Congress</em> where this dataset is included.</p> <p><em>Processed data comes from PIMA Adapta Costas project (Ramírez et al., 2019), in particular, from projections of maritime climate for 2026-2045 and 2081-2100. Sea climate contains, among other information, time series of the significant wave height (H<sub>s</sub>) obtained for several combinations of GCM-RCM projections of EUR-11 for the RCP 8.5. GCM-RCM combinations ACCE, CMCC, CNRM, GFDL, HADG, IPSL, MIRO with a 0.1 degrees grid were used for the Atlantic facade while CNRM, HADG, IPSL, MIRO, MEDC, MPIE, ESM2, EART models with 1/11 degrees were used for the Mediterranean one. A total of 210 locations were analyzed, 54 at the Atlantic facade and 156 at the Mediterranean one (Figure 1). The data was bias adjusted using the Empirical Quantile Mapping (Déqué et al., 2007; Michelangeli et al., 2009). Information of the significant wave height and the dependence between the values at a given time with previous values with a VAR(q) model is already available. </em></p> <p><em>At each location, the methodology of Lira-Loarca et al. (2021) was applied, using the software described in Cobos et al. (2022a). More precisely, for every GCM-RCM (hereinafter, model n for n = 1, .., N where N = 7 for Atlantic data and N = 8 for the Mediterranean data), a non-stationary marginal distribution of H<sub>s</sub>, , assuming that the year was the largest periodicity of the climate, was fitted to data using a lognormal model for the central part and two generalized Pareto distribution for the lower and upper tails, as in Solari and Losada (2011). The non- stationarity is considered by assuming a decomposition of the parameters of the distribution and of the percentiles of the common end points of the interval into a trigonometric truncated expansion.</em></p> <p><em>In addition, the coefficients of the matrix, C<sub>n</sub>, of a VAR(q) model with q up to 92 hours were estimated. The ensemble multi-model characteristics of the data were obtained from the compound distributions and the weighted averaged matrix coefficients. </em></p> <p><em>Soon, the results of the peak period (T<sub>p</sub>) and mean incoming wave direction (ϑ<sub>m</sub>) and the coefficients of the multivariate VAR model will also be included.</em></p> <p> </p> <p> </p>
Periodic vegetation pattern classification in Sudan
<p>This archive contains features computed from satellites images in Kordofan State in Sudan. SPOT (Systeme Probatoire d’Observation de la Terre) images with a 10-m ground resolution and preprocessing level 2A were divided into non-overlapping square windows of 410 by 410 m. We calculated for each of these windows:</p> <ul> <li>skewness of the grayscale distribution of each window</li> <li>index of vegetation pattern anisotropy</li> <li>azimuthal angle in the first PCA plane, which directly correlates with the dominant frequency in the windows</li> <li>distance from PCA origin, which expresses the degree of scale dominance</li> <li>mean annual rainfall computed from gridded monthly estimates from the Tropical Rainfall Measuring Mission (TRMM, NASA/JAXA) 3B43 V6 product acquired from 1 January 1998 to 31 December 2007 and resampled to 410 by 410 m.</li> <li>slope computed from the Shuttle Radar Topography Mission (SRTM) digital elevation model with three arc seconds<br> horizontal (ca 92 m in this area) spatial resolution.</li> </ul> <p>The resulting pattern classification:</p> <ul> <li>1, spots</li> <li>2, labyrinthine</li> <li>3, gaps</li> <li>4, bands</li> <li>5, non-periodic</li> <li>Nodata, area not covered by SPOT images</li> </ul> <p>Data is provided as rasters in Arc/Info ASCII grid format (also known as Esri grid). The projection and datum for all datasets are UTM zone 35 N, WGS 1984.</p> <p>Details on the methods are availble in the following publication: Deblauwe, V., Couteron, P., Lejeune, O., Bogaert, J. & Barbier, N. (2011) Environmental modulation of self-organized periodic vegetation patterns in Sudan. Ecography, 34, 990-1001. <a href="https://doi.org/10.1111/j.1600-0587.2010.06694.x">https://doi.org/10.1111/j.1600-0587.2010.06694.x</a></p>
Periodic Hydraulic Testing Dataset for "Borehole-based fracture unclogging experiment: bridging the gap between laboratory- and field-scale evidence (FRANC)"
<p>This dataset is associated with the SNSF-SPARK project “Borehole-based fracture unclogging experiment: bridging the gap between laboratory- and field-scale evidence (FRANC)”. Please read the ReadMe file for more information.</p>
CROSSBOW HLU2-UC4-TC6 Day ahead energy Price for the demonstration period in Greece
<p>For the evaluation of the curtailment distribution algorithm, an experiment was made with the forecast generation or RES assets in the area of Crete, Greece and the simulation of 30 limitations applied on random days. This dataset contains the DA energy prices in Greece at the time the demonstration was held</p>
CROSSBOW HLU2-UC4-TC4 Day ahead energy Price for the demonstration period in Croatia
<p>For the evaluation of the curtailment distribution algorithm, an experiment was made with the forecast generation from TS Konjsko and the simulation of 30 limitations applied on random days. This dataset contains the DA energy prices in Croatia at the time the demonstration was held</p>
CROSSBOW HLU2-UC4-TC5 Day ahead energy Price for the demonstration period in Romania
<p>For the evaluation of the curtailment distribution algorithm, an experiment was made with the forecast generation or RES assets in the area of Tariverde and the simulation of 30 limitations applied on random days. This dataset contains the DA energy prices in Croatia at the time the demonstration was held</p>
Polifonia Corpus - Periodicals Module Metadata - Italian Language
<p>We release the Metadata of the Periodicals module of the Polifonia Textual Corpus. According to the availability from the source origin, the Metadata may include the URL from which a text of the Books corpus is accessible, along with the title, the author, the year of publication, and the publisher. Metadata allows for a complete reconstruction of the corpus as we cannot make the actual texts available because they are subject to heterogeneous licensing.</p> <p>Full description at <a href="http://github.com/polifonia-project/Polifonia-Corpus">https://github.com/polifonia-project/Polifonia-Corpus</a></p>
Polifonia Corpus - Periodicals Module Metadata - Spanish Language
<p>We release the Metadata of the Periodicals module of the Polifonia Textual Corpus. According to the availability from the source origin, the Metadata may include the URL from which a text of the Books corpus is accessible, along with the title, the author, the year of publication, and the publisher. Metadata allows for a complete reconstruction of the corpus as we cannot make the actual texts available because they are subject to heterogeneous licensing.</p> <p>Full description at <a href="http://github.com/polifonia-project/Polifonia-Corpus">https://github.com/polifonia-project/Polifonia-Corpus</a></p>
Polifonia Corpus - Periodicals Module Metadata - German Language
<p>We release the Metadata of the Periodicals module of the Polifonia Textual Corpus. According to the availability from the source origin, the Metadata may include the URL from which a text of the Books corpus is accessible, along with the title, the author, the year of publication, and the publisher. Metadata allows for a complete reconstruction of the corpus as we cannot make the actual texts available because they are subject to heterogeneous licensing.</p>
Polifonia Corpus - Periodicals Module Metadata - French Language
<p>We release the Metadata of the Periodicals module of the Polifonia Textual Corpus. According to the availability from the source origin, the Metadata may include the URL from which a text of the Books corpus is accessible, along with the title, the author, the year of publication, and the publisher. Metadata allows for a complete reconstruction of the corpus as we cannot make the actual texts available because they are subject to heterogeneous licensing.</p> <p>Full description at <a href="http://github.com/polifonia-project/Polifonia-Corpus">https://github.com/polifonia-project/Polifonia-Corpus</a></p>
Polifonia Corpus - Periodicals Module Metadata - Dutch Language
<p>We release the Metadata of the Periodicals module of the Polifonia Textual Corpus. According to the availability from the source origin, the Metadata may include the URL from which a text of the Books corpus is accessible, along with the title, the author, the year of publication, and the publisher. Metadata allows for a complete reconstruction of the corpus as we cannot make the actual texts available because they are subject to heterogeneous licensing.</p> <p>Full description at <a href="http://github.com/polifonia-project/Polifonia-Corpus">https://github.com/polifonia-project/Polifonia-Corpus</a></p>
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