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Рис. 26. Сравнение среΑних значений частоты изменчивости эΛементов рисунка и инΑекса пигментации Mesobuthus eupeus в посеΛениях из разнотипных (А) и оΑнотипных (В) биотопов в кажΑой из выборок: I – Северо-ЗапаΑный Гобустан; II – Северо-Восточный Гобустан; III – ЦентраΛьный Гобустан; IV – Юго-Восточный Гобустан; V – Юго-Восточный Ширван. ИнΑекс корреΛяции r в преΑеΛах 0.744–0.989; p <0.05. Fig. 26. Comparison of the average values of the frequency of variability of pattern elements and the pigmentation index of Mesobuthus eupeus in conglomerations from habitats of different types (A) and of the same type (B) in each sample: I – northwestern Gobustan; II – northeastern Gobustan; III – central Gobustan; IV – southeastern Gobustan; V – southeastern Shirvan. Correlation index r = 0.744–0.989; p <0.05. in Materials on the colour pattern variability of Mesobuthus eupeus (C.L. Koch, 1839) (Arachnida: Scorpiones) in southeastern Shirvan and Gobustan (Eastern Azerbaijan)
Рис. 26. Сравнение среΑних значений частоты изменчивости эΛементов рисунка и инΑекса пигментации Mesobuthus eupeus в посеΛениях из разнотипных (А) и оΑнотипных (В) биотопов в кажΑой из выборок: I – Северо-ЗапаΑный Гобустан; II – Северо-Восточный Гобустан; III – ЦентраΛьный Гобустан; IV – Юго-Восточный Гобустан; V – Юго-Восточный Ширван. ИнΑекс корреΛяции r в преΑеΛах 0.744–0.989; p <0.05. Fig. 26. Comparison of the average values of the frequency of variability of pattern elements and the pigmentation index of Mesobuthus eupeus in conglomerations from habitats of different types (A) and of the same type (B) in each sample: I – northwestern Gobustan; II – northeastern Gobustan; III – central Gobustan; IV – southeastern Gobustan; V – southeastern Shirvan. Correlation index r = 0.744–0.989; p <0.05.
Рис. 1. Район иссΛеΑования: 1 – Северо-ЗапаΑный Гобустан; 2 – Северо-Восточный Гобустан; 3 – ЦентраΛьный Гобустан; 4 – Юго- Восточный Гобустан; 5 – Юго-Восточный Ширван. Fig. 1. Study area: 1 – northwestern Gobustan; 2 – northeastern Gobustan; 3 – central Gobustan; 4 – southeastern Gobustan; 5 – southeastern Shirvan. in Materials on the colour pattern variability of Mesobuthus eupeus (C.L. Koch, 1839) (Arachnida: Scorpiones) in southeastern Shirvan and Gobustan (Eastern Azerbaijan)
Рис. 1. Район иссΛеΑования: 1 – Северо-ЗапаΑный Гобустан; 2 – Северо-Восточный Гобустан; 3 – ЦентраΛьный Гобустан; 4 – Юго- Восточный Гобустан; 5 – Юго-Восточный Ширван. Fig. 1. Study area: 1 – northwestern Gobustan; 2 – northeastern Gobustan; 3 – central Gobustan; 4 – southeastern Gobustan; 5 – southeastern Shirvan.
Рис. 2. Основные части теΛа и эΛементы окраски Mesobuthus eupeus: I – просома; II – мезосома; III – метасома; a – меΑиаΛьная поΛоса; b – парамеΑиаΛьная поΛоса; с – маргинаΛьная поΛоса; d – поперечная поΛоса; e – пятна. Fig. 2. Main body parts and colour pattern elements of Mesobuthus eupeus: I – prosoma; II – mesosome; III – metasoma; a – medial stripe; b – paramedical stripe; с – marginal stripe; d – transverse stripe; e – spots. in Materials on the colour pattern variability of Mesobuthus eupeus (C.L. Koch, 1839) (Arachnida: Scorpiones) in southeastern Shirvan and Gobustan (Eastern Azerbaijan)
Рис. 2. Основные части теΛа и эΛементы окраски Mesobuthus eupeus: I – просома; II – мезосома; III – метасома; a – меΑиаΛьная поΛоса; b – парамеΑиаΛьная поΛоса; с – маргинаΛьная поΛоса; d – поперечная поΛоса; e – пятна. Fig. 2. Main body parts and colour pattern elements of Mesobuthus eupeus: I – prosoma; II – mesosome; III – metasoma; a – medial stripe; b – paramedical stripe; с – marginal stripe; d – transverse stripe; e – spots.
Рис. 3–20. Варианты окраски Mesobuthus eupeus. 3–7 – Северо-ЗапаΑный Гобустан; 8–10 – Северо-Восточный Гобустан; 11–14 – ЦентраΛьный Гобустан; 15–17 – Юго-Восточный Гобустан; 18–20 – Юго-Восточный Ширван. Figs 3–20. Colour pattern variation in Mesobuthus eupeus. 3–7 – northwestern Gobustan; 8–10 – northeastern Gobustan; 11–14 – central Gobustan; 15–17 – southeastern Gobustan; 18–20 – southeastern Shirvan. in Materials on the colour pattern variability of Mesobuthus eupeus (C.L. Koch, 1839) (Arachnida: Scorpiones) in southeastern Shirvan and Gobustan (Eastern Azerbaijan)
Рис. 3–20. Варианты окраски Mesobuthus eupeus. 3–7 – Северо-ЗапаΑный Гобустан; 8–10 – Северо-Восточный Гобустан; 11–14 – ЦентраΛьный Гобустан; 15–17 – Юго-Восточный Гобустан; 18–20 – Юго-Восточный Ширван. Figs 3–20. Colour pattern variation in Mesobuthus eupeus. 3–7 – northwestern Gobustan; 8–10 – northeastern Gobustan; 11–14 – central Gobustan; 15–17 – southeastern Gobustan; 18–20 – southeastern Shirvan.
Рис. 21–25. Частота изменчивости основных эΛементов рисунка (меΑиаΛьной, парамеΑиаΛьных и маргинаΛьных поΛос) ΑорсаΛьной поверхности мезосомы Mesobuthus eupeus в посеΛениях кажΑой из выборок. 21 – Северо-ЗапаΑный Гобустан (n = 57); 22 – Северо-Восточный Гобустан (n = 40); 23 – ЦентраΛьный Гобустан (n = 81); 24 – Юго-Восточный Гобустан (n = 103); 25 – Юго-Восточный Ширван (n = 86). По оси абсцисс указаны посеΛения, по оси орΑинат – частота изменчивости. Figs 21–25. Frequency of variability of the main elements of pattern (medial, paramedical and marginal stripes) of dorsal surface of mesosome of Mesobuthus eupeus in conglomerations of each sample. 21 – northwestern Gobustan (n = 57); 22 – northeastern Gobustan (n = 40); 23 – central Gobustan (n = 81); 24 – southeastern Gobustan (n = 103); 25 – southeastern Shirvan (n = 86). Abscissas show conglomerations, ordinates – the frequency of variability. in Materials on the colour pattern variability of Mesobuthus eupeus (C.L. Koch, 1839) (Arachnida: Scorpiones) in southeastern Shirvan and Gobustan (Eastern Azerbaijan)
Рис. 21–25. Частота изменчивости основных эΛементов рисунка (меΑиаΛьной, парамеΑиаΛьных и маргинаΛьных поΛос) ΑорсаΛьной поверхности мезосомы Mesobuthus eupeus в посеΛениях кажΑой из выборок. 21 – Северо-ЗапаΑный Гобустан (n = 57); 22 – Северо-Восточный Гобустан (n = 40); 23 – ЦентраΛьный Гобустан (n = 81); 24 – Юго-Восточный Гобустан (n = 103); 25 – Юго-Восточный Ширван (n = 86). По оси абсцисс указаны посеΛения, по оси орΑинат – частота изменчивости. Figs 21–25. Frequency of variability of the main elements of pattern (medial, paramedical and marginal stripes) of dorsal surface of mesosome of Mesobuthus eupeus in conglomerations of each sample. 21 – northwestern Gobustan (n = 57); 22 – northeastern Gobustan (n = 40); 23 – central Gobustan (n = 81); 24 – southeastern Gobustan (n = 103); 25 – southeastern Shirvan (n = 86). Abscissas show conglomerations, ordinates – the frequency of variability.
Materials for the "Unsupervised classification (clustering) of satellite images" workshop
<p>Dataset for the "<strong>Unsupervised classification (clustering) of satellite images</strong>" workshop on <a href="https://opengeohub.org/summer-school/opengeohub-summer-school-poznan-2023/">OpenGeoHub Summer School 2023</a>. The repository with the code can be found on GitHub: <a href="https://github.com/kadyb/OGH2023">https://github.com/kadyb/OGH2023</a>.</p> <p>In the .zip archive there are two catalogs: "<em>data</em>" and "<em>task</em>", which include:</p> <ul> <li>Landsat 8 scene (7 spectral bands) + metadata;</li> <li>polygons with coverage of Poznań and Szamotuły counties.</li> </ul> <p>The satellite data was downloaded from <a href="https://earthexplorer.usgs.gov/">EarthExplorer</a>.</p>
A Quantum-Chemical Bonding Database for Solid-State Materials (JSONS: Part 1)
<p>This database consists of bonding data computed using Lobster for 1520 solid-state compounds consisting of insulators and semiconductors. It consists of two kinds of JSON files. Smaller lightweight JSONS consists of summarized bonding information for each of the compounds. The files are named as per ID numbers in the materials project database. </p><p>Here, we also provide the larger computational data JSON files for 700 compounds. This file consists of all important LOBSTER computation output file data stored as a dictionary.</p><p>Rest 820 computational data JSONs are provided as part of the following repository: A Quantum-Chemical Bonding Database for Solid-State Materials (Part 2): <a href="https://doi.org/10.5281/zenodo.8092187">https://doi.org/10.5281/zenodo.8092187.</a> </p><p>This dataset is published as part of our publication: <a href="https://www.nature.com/articles/s41597-023-02477-5">A Quantum-Chemical Bonding Database for Solid-State Materials. </a> Details about the data generation, validation, and metadata description can be found in our publication.</p><p>Additionally, all the scripts and tools used for curating (including metadata description), benchmarking, and reusing our data are documented in the openly accessible repository. This enables one to reproduce the data and results presented in our work fully. These scripts can be accessed from either of the following links:</p><p>Zenodo: <a href="https://doi.org/10.5281/zenodo.8172527">https://doi.org/10.5281/zenodo.8172527</a></p><p>Github: <a href="https://github.com/naik-aakash/lobster-database-paper-analysis-scripts/tree/v1.0.6">https://github.com/naik-aakash/lobster-database-paper-analysis-scripts/ (v1.0.6)</a></p><p>The dataset will also be available through <a href="https://next-gen.materialsproject.org/">The Materials Project</a> soon.</p>
Supplementary materials for "Spanish lower and upper bounded change of state verbs: Focusing on transitive experiencer object verbs", published in Linguistics: An Interdisciplinary Journal of the Language Sciences
<p>Supplementary files are as follows:</p> <ul> <li><strong>R-code_Scalarity.Rmd</strong> contains the R-code in a markdown version of the statistical analysis of the study.</li> <li><strong>R-code_Scalarity.html</strong> displays the R-code_Scalarity.Rmd in an html format.</li> <li><strong>Results_Scalarity.csv</strong> contains the data of the study.</li> </ul> <p>For more details on the description of the data, see the publication: "Spanish lower and upper bounded change of state verbs: Focusing on transitive experiencer object verbs", Linguistics.</p>
A Quantum-Chemical Bonding Database for Solid-State Materials (JSONS: Part 2)
<p>This database consists of bonding data computed using Lobster for 1520 solid-state compounds consisting of insulators and semiconductors. The files are named as per ID numbers in the materials project database. </p><p>Here, we provide the larger computational data JSON files for the rest of the 820 compounds. This file consists of all important LOBSTER computation output file data stored as a dictionary.</p><p>This dataset is published as part of our publication: <a href="https://www.nature.com/articles/s41597-023-02477-5">A Quantum-Chemical Bonding Database for Solid-State Materials. </a>Details about the data generation, validation, and metadata description can be found in our publication.</p><p>Additionally, all the scripts and tools used for curating (including metadata description), benchmarking, and reusing our data are documented in the openly accessible repository. This enables one to reproduce the data and results presented in our work fully. These scripts can be accessed from either of the following links:</p><p>Zenodo: <a href="https://doi.org/10.5281/zenodo.8172527">https://doi.org/10.5281/zenodo.8172527</a></p><p>Github: <a href="https://github.com/naik-aakash/lobster-database-paper-analysis-scripts/tree/v1.0.6">https://github.com/naik-aakash/lobster-database-paper-analysis-scripts/ (v1.0.6)</a></p><p>The dataset will also be available through <a href="https://next-gen.materialsproject.org/">The Materials Project</a> soon.</p>
Measurements on reference materials for SThM measurand versus thermal conductivity calibration curve
<p>This sheet presents the results of measurements carried out on calibration samples using the SThM technique as part of the NanoWires project. The thermal conductivity of the samples was previously characterised using a traceable technique. Measurement results are given with associated standard uncertainty. The thermal conductivity range studied was between 0.187 and 117 W.m<sup>-1</sup>.K<sup>-1</sup>. These measurements were used to construct the thermal conductivity calibration curve for a SThM probe.</p> <p>The 19ENG05 NanoWires project has received funding from the EMPIR programme co-financed by the Participating States and from the European Union’s Horizon 2020 research and innovation programme.</p>
Supporting Information from The Next Frontier of Environmental Unknowns: Substances of Unknown or Variable Composition, Complex Reaction Products, or Biological Materials (UVCBs)
<p>Supporting Information (Open Data) from The Next Frontier of Environmental Unknowns: Substances of Unknown or Variable Composition, Complex Reaction Products, or Biological Materials (UVCBs)</p>
Data and supplementary material for the paper "Development of an IntelliCage based Cognitive Bias Test for Mice."
<p>All raw data, R scripts for analysis and the supplementary material related to the paper "Development of an IntelliCage based Cognitive Bias Test for Mice." are available to the scientific public here. A preprint version of the paper will be published on bioRxiv. </p> <p>Version 2 contains R scripts, version 1 does not.</p> <p>Version 3: For better clarity, the data were saved as .ods files. Each .ods file contains the data for one developmental step. The R scripts are still available as .txt files. In addition, an ARRIVE checklist was added.</p> <p>Version 4: xlsx instead of ods fiels</p> <p>Version 5: Extended supplemet PDF file<br> Added GroupTwo_Entries and GroupThree_Entries txt files</p> <p>A pre-print version can be found at bioRxiv: https://www.biorxiv.org/content/10.1101/2022.10.19.512853v1 </p>
Supplemental material of "An annotated whole-genome multilocus sequence typing schema for scalable high resolution typing of Streptococcus pyogenes"
<p>This supplemental material includes the genome assemblies, associated metadata and analysis results for five datasets used to define a publicly available annotated wgMLST schema for <em>S. pyogenes</em> and to evaluate its suitability for high resolution typing. A brief description for each file in the dataset is available in the included README file. Raw sequencing data and sample metadata for the 265 isolates included in Dataset1 have been deposited in the European Nucleotide Archive (ENA) under Project <a href="https://www.ebi.ac.uk/ena/browser/view/PRJEB49967?show=reads">PRJEB49967</a>.</p> <p>The wgMLST schema was created with <a href="https://github.com/B-UMMI/chewBBACA">chewBBACA</a> and is publicly available at <a href="https://chewbbaca.online/species/1/schemas/1">chewie-NS</a>, where a more detailed description of schema creation, annotation and curation can be found.</p>
Supplementary Material to "Overview of XBRL Taxonomy Usage for Structured Sustainability Reporting in European Filings"
<p>Hereby we provide supplementary material to the submitted paper "Overview of XBRL Taxonomy Usage for Structured Sustainability Reporting in European Filings". Two Excel spreadsheets have been provided containing the ESRS PoC XBRL taxonomy representation and a sample report of a tagged integrated annual report.</p> <p>The research is expected to be presented at the 1st Conference on Sustainability at Széchenyi István University, Hungary, October 10-12, 2023. This framework leverages an examination of the existing taxonomy of ESRS to provide readers with insight into the essential glossary of disclosures and metrics considered critical by official regulatory sources. During the analysis, all XBRL data was retrieved from public sources and processed in the programming environment currently under development by the Széchenyi István University research team.</p>
Supplemental Material for IEEE VIS 2023 Short Paper 'Compact Phase Histograms for Guided Exploration of Periodicity'
<p>Supplemental video explaining the approach described in our 2023 IEEE VIS short paper "Compact Phase Histograms for Guided Exploration of Periodicity," which is going to be presented in Melbourne, Australia October 22–27, 2023.</p>
Estonian National Bibliography - graphic material
A subset of graphical works from the Estonian national bibliography. The Estonian national bibliography (Eesti rahvusbibliograafia - ERB) covers publications in all languages in Estonia and abroad, regardless of the medium and date of publication. The database of the national bibliography is constantly updated with newly published works. A separate part of the national bibliography is the Estonica collection, which includes both publications in foreign languages by Estonian authors and publications about Estonia and Estonians published abroad. The database is managed by the National Library of Estonia, which manages the Estonian national bibliography in accordance with the relevant laws. For more info, see <a href="https://digilab.rara.ee">https://digilab.rara.ee</a>.
Assessing the bioreceptivity of biobased cladding materials
<p>Raw data used to generate figures in "Assessing the bioreceptivity of biobased cladding materials". The sheet "reference samples" refers to unweathered samples, the sheet "1 month swab" refers to data obtained from swabbing the materials after one month of exposure. </p> <p>All experimental procedures are detailed in the manuscript. </p> <p>Code is available upon request. </p>
Decentralised Governance: Crafting effective democracies around the world - Chapter 10 Supplementary Material
<p>Supplementary Material for: Chachu, Daniel; Danquah, Michael and Gisselquist, Rachel M.(2023) ‘‘Data availability and performance assessment: subnational governance in Ghana", in:</p> <p>Faguet, Jean-Paul and Pal, Sarmistha (eds) Decentralised Governance: Crafting effective democracies around the world, London: LSE Press</p> <p>BLURB: For developing countries, decentralising power from central government to local authorities holds the promise of deepening democracy, empowering citizens, improving public services and boosting economic growth. <em>Decentralised Governance</em> brings together a new generation of political economy studies that explore these issues analytically, blending theoretical insights with empirical innovation.</p>
Supplementary Material for "How Students Plagiarize Modeling Assignments"
<p>Supplementary Material for the Paper "How Students Plagiarize Modeling Assignments" at the Educators Symposium at MODELS'23.</p>
Supplementary Material for publication "Bifidobacteria Define Gut Microbiome Profiles of Golden Lion Tamarin (Leontopithecus rosalia} and Marmoset Callithrix sp. Metagenomic Shotgun Pools
<p>Supplementary Tables and Figure for the publication "Bifidobacteria Define Gut Microbiome Profiles of Golden Lion Tamarin <em>Leontopithecus rosalia</em> and Marmoset <em>Callithrix</em> sp. Metagenomic Shotgun Pools"</p>
ScienceDex guides
Understand access before you commit
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.