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Reading Information Technology and Libraries (volume 41, number 2, June 2022)
Today, for a good time, I applied my Reader Toolbox to the latest issue of ITAL for the two-fold purposes of: 1) just seing whether the Toolbox could function, and 2) determine the degree I could extract meaningful themes from the issue. Well, the Toolbox functioned, in that it did not crash nor output invalid data, and I do believe I could pull out themes, in that each issue's authors wrote about something distinctive, and I could identify those things. Below describes my process.
Theological Librarianship (Volume 16, Number 1): More questions than answers
In an effort to see how quickly I can do analysis, against the entire issue of a given journal, I did some reading against Theological Librarianship (Volume 16, Number 1), and in the end, I am going away with more questions than answers, but I did learn about "ethiopic".
Рис. 2. ЗΑание ТЦ «Москва», гΑе быΛо найΑено наибоΛьшее чисΛо погибших от стоΛкновения птиц. Фото Δ. А. БеΛяева Fig. 2. The building of the "Moskva" shopping center, where the highest number of bird window collision deaths was registered. Photo by D. A. Belyaev in Deaths Resulting From Bird Window Collisions In Ussuriysk (Primorsky Krai)
Рис. 2. ЗΑание ТЦ «Москва», гΑе быΛо найΑено наибоΛьшее чисΛо погибших от стоΛкновения птиц. Фото Δ. А. БеΛяева Fig. 2. The building of the "Moskva" shopping center, where the highest number of bird window collision deaths was registered. Photo by D. A. Belyaev
Figure 6 in Fitness Effects of Founder Female Number of Trichogramma papilionis Reared on Ephestia kuehniella
Figure 6. Coefficient of variation in percentage parasitized Ephestia eggs for three different founder population size colonies (Treatments, 1, 2, and 10 founder females) of Trichogramma papilionis over 10 successive generations.
Figure 4 in Fitness Effects of Founder Female Number of Trichogramma papilionis Reared on Ephestia kuehniella
Figure 4. Mean estimates (± SEM) of the sex ratio of Trichogramma papilionis in two experimental lines (25°C, L1 and 22°C, L2). Treatments not connected by the same letter were significantly different.
Figure 1 in Fitness Effects of Founder Female Number of Trichogramma papilionis Reared on Ephestia kuehniella
Figure 1. Response (Mean ± SEM) in the emergence rate of three founder population sizes (1, 2, and 10 founder females) of Trichogramma papilionis over 10 serially bottlenecked generations. Treatments not connected by the same letter were significantly different (Tukey test, P <0.050).
Figure 2 in Fitness Effects of Founder Female Number of Trichogramma papilionis Reared on Ephestia kuehniella
Figure 2. Coefficient of variation in the emergence rate of Trichogramma papilionis from three founder population sizes (Treatments, 1, 2, 10 females) over ten generations.
Figure 2 in "One is the loneliest number"; are we witnessing the death throes of the single-author research paper in the field of biological invasions?
Figure 2. Changes in % of research papers published over time by single-authors (white circles and grey line) and four or more authors (black circles and black line) in issues of (a) BioInvasions Records, (b) Aquatic Invasions and (c) Management of Biological Invasions.
Figure 1 in A low number of introduced marine species in the tropics: a case study from Singapore
Figure 1. Map of Singapore showing localities mentioned in the text and the amount of land reclaimed since 1950.
Figure 1 in "One is the loneliest number"; are we witnessing the death throes of the single-author research paper in the field of biological invasions?
Figure 1. Mean (± SE) % of research papers published in each issue of BioInvasions Records, Aquatic Invasions and Management of Biological Invasions categorised by number of authors.
Fig. 5 in Celebration time: here's to 500 numbers of Far Eastern Entomologist
Fig. 5. The most active members of the Editorial Board during fieldwork in Tuva, Russia. From left to right: V.M. Loktionov, A.S. Lelej, M.Yu. Proshchalykin, S.Yu. Storozhenko.
Fig. 1 in Celebration time: here's to 500 numbers of Far Eastern Entomologist
Fig. 1. Bottom left – the journal's emblem; right – a male Paracyphoderris erebeus in the nature (photo by E.S. Koshkin); top left – Scopus/SCImago icon with the journal's metric data for 2018.
Figure 2 in EVOLUTIONARY PATTERNS OF GENOME SIZE AND CHROMOSOME NUMBER VARIATION IN BEGONIACEAE
Figure 2. Genome sizes and chromosome numbers of 64 Begonia species and Hillebrandia sandwicensis. The sources of the data used to create this scatter plot are specified in Supplementary table 2. Species in the same sections are enclosed within an ellipse. Colours indicate the continent where each species is found. The Hillebrandia data point is labelled as 'Outgroup'.
Figure 1 in EVOLUTIONARY PATTERNS OF GENOME SIZE AND CHROMOSOME NUMBER VARIATION IN BEGONIACEAE
Figure 1. Variation in haploid chromosome number across the Begonia sections recognised by Moonlight et al. (2018) and their chromosome data. Boxes in the box plot are grouped by clade. The colours indicate the continent where these sections are found. Bar charts indicate the proportion of the section with known chromosome counts. Dots indicate sections with polyploid species or with species with known interspecific chromosome number variation (including B chromosomes). AC-C, Asian clade C; AC-D, Asian clade D; EDAB, early diverging Asian Begonia; FFAB, fleshy-fruited African Begonia; MB, Malagasy Begonia; NC1, Neotropical clade 1; NC2-i, Neotropical clade 2-i; NC2-ii, Neotropical clade 2-ii; NC2-iii, Neotropical clade 2-iii; SB, Socotran Begonia; SDAAB1, seasonally dry adapted African Begonia 1; SDAAB2, seasonally dry adapted African Begonia 2; YFAB, yellow-flowered African Begonia. * Unresolved or polyphyletic in the phylogeny of Moonlight et al. (2018).
Dataset: Sleep Number Corporation (SNBR) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
TreeGOER Global Zones: Global atlas for the Climatic Moisture Index (CMI), Maximum Climatological Water Deficit (MCWD) and the number of months with average temperature > 10 degrees C (Tmo10)
<p>The <strong>TreeGOER (Tree Globally Observed Environmental Ranges)</strong> database documents the environmental ranges for 48,129 tree species and is available from files archived at <a href="https://doi.org/10.5281/zenodo.7922927">https://doi.org/10.5281/zenodo.7922927</a>. Details on the preparation of this database from 30 arc-second global grid layers are provided by Kindt, R. (2023). <strong>TreeGOER: A database with globally observed environmental ranges for 48,129 tree species</strong>. Global Change Biology, 00, 1–16. <a href="https://onlinelibrary.wiley.com/doi/10.1111/gcb.16914">https://onlinelibrary.wiley.com/doi/10.1111/gcb.16914</a>. The atlas from this archive was designed to be used together with TreeGOER and possibly also with the <a href="https://worldagroforestry.org/output/globalusefulnativetrees">GlobalUsefulNativeTrees</a> database (Kindt et al. <a href="https://www.nature.com/articles/s41598-023-39552-1">2023</a>) to allow users to filter suitable tree species based on environmental conditions of the planting site.</p> <p><strong>TreeGOER</strong> includes a file (<em>TreeGOER_Tmo10_classes.txt</em>) that documents the distribution of species in zones defined by the number of months with average temperature > 10 degrees C. <strong>TreeGOER</strong> also includes a file (<em>TreeGOER_CMI_classes.txt</em>) that documents the distribution of species in zones defined by the Climatic Moisture Index (CMI). The atlas provided here shows the global distribution of the Tmo10 zones and CMI zones at high resolution on six sheets each, including three sheets in the northern hemisphere and three sheets in the southern hemisphere.</p> <p>The atlas also includes six sheets that show the global distribution of the Maximum Climatological Water Deficit (MCWD), another environmental variable covered by the <strong>TreeGOER</strong> database.</p> <p> </p> <table> <tbody> <tr> <td><strong>Zone</strong></td> <td><strong>Classes</strong></td> <td><strong>Comment</strong></td> </tr> <tr> <td>Tmo10</td> <td> Tmo10 = 12 + Bio06 >= 18</td> <td>tropical (minimum temperature of coldest month 18 degrees C or higher)</td> </tr> <tr> <td> </td> <td>Tmo10 = 12 + Bio06< 18</td> <td>tropical (minimum temperature of coldest month less than 18 degrees C)</td> </tr> <tr> <td> </td> <td>8 ≤ Tmo10 < 12</td> <td>subtropical</td> </tr> <tr> <td> </td> <td>4 ≤ Tmo10 < 8</td> <td>temperate</td> </tr> <tr> <td> </td> <td>1 ≤ Tmo10 < 4</td> <td>boreal</td> </tr> <tr> <td> </td> <td>Tmo10 < 1</td> <td>polar</td> </tr> <tr> <td>CMI</td> <td>CMI ≥ 0.5</td> <td>P >= 2 * PET</td> </tr> <tr> <td> </td> <td>0 ≤ CMI < 0.5</td> <td>PET <= P < 2 * PET</td> </tr> <tr> <td> </td> <td>−0.35 ≤ CMI < 0</td> <td>0.65 <= P/PET < 1</td> </tr> <tr> <td> </td> <td>−0.5 ≤ CMI < −0.35</td> <td>dry sub-humid</td> </tr> <tr> <td> </td> <td>−0.8 ≤ CMI < −0.5</td> <td>semi-arid</td> </tr> <tr> <td> </td> <td>−0.95 ≤ CMI < −0.8</td> <td>arid</td> </tr> <tr> <td> </td> <td>CMI < −0.95</td> <td> hyper-arid</td> </tr> <tr> <td>MCWD</td> <td>MCWD ≤ -100</td> <td> </td> </tr> <tr> <td> </td> <td>−200 ≤ MCWD < −100</td> <td> </td> </tr> <tr> <td> </td> <td>−400 ≤ MCWD < −200</td> <td> </td> </tr> <tr> <td> </td> <td>−600 ≤ MCWD < −400 </td> <td> </td> </tr> <tr> <td> </td> <td>−800 ≤ MCWD < −600</td> <td> </td> </tr> <tr> <td> </td> <td>−1000 ≤ MCWD < −800</td> <td> </td> </tr> <tr> <td> </td> <td>−1250 ≤ MCWD < −1000</td> <td> </td> </tr> <tr> <td> </td> <td>−1500 ≤ MCWD < −1250</td> <td> </td> </tr> <tr> <td> </td> <td>−1750 ≤ MCWD < −1500 </td> <td> </td> </tr> <tr> <td> </td> <td>−2000 ≤ MCWD < −1750 </td> <td> </td> </tr> <tr> <td> </td> <td>−2500 ≤ MCWD < −2000 </td> <td> </td> </tr> </tbody> </table> <p> </p> <p>A fourth map series in the atlas combines information from the Climatic Moisture Index with the distribution of 52,602 cities that were included in the CitiesGOER database, available from <a href="https://doi.org/10.5281/zenodo.8175429">https://doi.org/10.5281/zenodo.8175429</a><a name="_Hlk141002106"></a><br></p> <p>Maps were created from the environmental raster layers used to create the TreeGOER via the <a href="https://cran.r-project.org/web/packages/terra/">terra package</a> (Hijmans et al. 2022, version 1.7-46) in the <a href="https://cran.r-project.org/">R 4.2.1 environment</a>.</p> <p>Added country boundaries were obtained from <a href="https://www.naturalearthdata.com/downloads/10m-cultural-vectors/">Natural Earth</a> as <a href="https://www.naturalearthdata.com/http/www.naturalearthdata.com/download/10m/cultural/ne_10m_admin_0_countries.zip">Admin 0 – countries vector layers</a> (version 5.1.1). Also added after obtaining them from Natural Earth were <a href="https://www.naturalearthdata.com/http/www.naturalearthdata.com/download/10m/cultural/ne_10m_admin_0_boundary_lines_disputed_areas.zip">Admin 0 – Breakaway, Disputed areas</a> (version 5.1.0, coloured yellow in the atlas), <a href="https://www.naturalearthdata.com/http/www.naturalearthdata.com/download/10m/cultural/ne_10m_roads.zip">Roads</a> (version 5.0.0, coloured red in the atlas) and <a href="https://www.naturalearthdata.com/http/www.naturalearthdata.com/download/10m/physical/ne_10m_lakes.zip">Lakes</a> (version 5.0.0, coloured darkblue in the atlas).</p> <p>For countries where the GlobalUsefulNativeTrees database included subnational levels, boundaries were added and depicted as dot-dash lines. These subnational levels correspond to level 3 boundaries in the World Geographical Scheme for Recording Plant Distributions. These were obtained from <a href="https://github.com/tdwg/wgsrpd">https://github.com/tdwg/wgsrpd</a>. Check <a href="https://github.com/tdwg/wgsrpd/blob/master/109-488-1-ED/2nd%20Edition/TDWG_geo2.pdf">Brummit 2001</a> for details such as the maps shown at the end of this document.</p> <p>When using the TreeGOER Global Zones atlas in your work, cite this depository and the following:</p> <ul> <li>Fick, S. E., & Hijmans, R. J. (2017). WorldClim 2: New 1‐km spatial resolution climate surfaces for global land areas. <em>International Journal of Climatology</em>, <em>37</em>(12), 4302–4315. <a href="https://doi.org/10.1002/joc.5086">https://doi.org/10.1002/joc.5086</a></li> <li>Title, P. O., & Bemmels, J. B. (2018). ENVIREM: An expanded set of bioclimatic and topographic variables increases flexibility and improves performance of ecological niche modeling. <em>Ecography</em>, <em>41</em>(2), 291–307. <a href="https://doi.org/10.1111/ecog.02880">https://doi.org/10.1111/ecog.02880</a></li> <li>Kindt, R. (2023). TreeGOER: A database with globally observed environmental ranges for 48,129 tree species. Global Change Biology, 00, 1–16. <a href="https://onlinelibrary.wiley.com/doi/10.1111/gcb.16914">https://onlinelibrary.wiley.com/doi/10.1111/gcb.16914</a>.</li> </ul> <p> </p> <p>The development of the TreeGOER Global Zones atlas (including development of version 2024.06) was supported by the <strong>Darwin Initiative</strong> to project DAREX001 of <em>Developing a Global Biodiversity Standard certification for tree-planting and restoration</em>, by <strong>Norway’s International Climate and Forest Initiative through the Royal Norwegian Embassy in Ethiopia</strong> to the <em>Provision of Adequate Tree Seed Portfolio</em> project in Ethiopia, by the <strong>Green Climate Fund</strong> through the IUCN-led <em>Transforming the Eastern Province of Rwanda through Adaptation</em> project and through the <em>Readiness proposal on Climate Appropriate Portfolios of Tree Diversity for Burkina Faso</em>, by the <strong>Bezos Earth Fund</strong> to the <em>Bezos Quality Tree Seed for Africa in Kenya and Rwanda</em> project and by the <strong>German International Climate Initiative (IKI)</strong> to the regional tree seed programme on <em>The Right Tree for the Right Place for the Right Purpose in Africa</em>.</p> <p> </p>
Fig. 4 in Number And Dynamics Of Zooplankton Taxa In The Daugava River And Pļaviņas Reservoir
Fig. 4. Species abundance after Shannon-Wiener index. Research was supported by the national research programme "The influencing factors in large rivers that determine value and dynamic of Latvia's ecosystems under the number of zooplankton, in particular changing climate – EVIDEnT" Sub-project 4.6. crustaceans, is the river hydrology and predators Freshwater ecosystem services and biological (Baranyi et al. 2002, Basu & Pick 1996, Chang diversity. et al. 2001, Lair 2006, Saunders & Lewis 1988, Thorp & Casper 2003, Thorp & Mantovani 2005, Viroux 2002). REFERENCES
Рис. 3. Спектры многоΛетней цикΛичности в разΛичных попуΛяциях Λесного Λемминга (а — ЗапаΔная ФинΛянΔия, б — Восточная ФинΛянΔия, в — АΛтай, оз. ТеΛецкое) in Long-Term Variability In Forest Lemming Population Numbers ( Liljeborg, 1844): Cyclicity
Рис. 3. Спектры многоΛетней цикΛичности в разΛичных попуΛяциях Λесного Λемминга (а — ЗапаΔная ФинΛянΔия, б — Восточная ФинΛянΔия, в — АΛтай, оз. ТеΛецкое)
Fig. 1 in Long-Term Variability In Forest Lemming Population Numbers ( Liljeborg, 1844): Cyclicity
Fig. 1. Assessment of the population dynamics of forest lemming by animal remains (Eskelinen et al. 2004)
Рис. 5. Спектр ритмов в многоΛетнем хоΔе чисΛенности Λесного Λемминга в заповеΔнике «Кивач», КареΛия (а), и в Баргузинском заповеΔнике (б) Fig. 5. The spectrum of rhythms in the long-term course of the number of forest lemming in the Kivach Reserve, Karelia (a) and in the Barguzinsky reserve (b) in Long-Term Variability In Forest Lemming Population Numbers ( Liljeborg, 1844): Cyclicity
Рис. 5. Спектр ритмов в многоΛетнем хоΔе чисΛенности Λесного Λемминга в заповеΔнике «Кивач», КареΛия (а), и в Баргузинском заповеΔнике (б) Fig. 5. The spectrum of rhythms in the long-term course of the number of forest lemming in the Kivach Reserve, Karelia (a) and in the Barguzinsky reserve (b)
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.