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FIG. 3 in Foraminiferal biostratigraphy, facies and sequence stratigraphy analysis across the K-Pg Boundary in Hazara, Lesser Himalayas (Dhudial Section)
FIG. 3. — Lithostratigraphic column showing the lithology, constituents and facies of the Dhudial Section.
FIG. 5 in Foraminiferal biostratigraphy, facies and sequence stratigraphy analysis across the K-Pg Boundary in Hazara, Lesser Himalayas (Dhudial Section)
FIG. 5. — Photomicrographs of thin slides: A, Planktonic foraminifera () and ferroan euhedral dolomite crystals () (S# 09); B, dolomitized zone () with planktonic foraminifera (), radiolarians () and ostracods () (S# 25); C, contact of the foraminiferal wackestone and packstone patch (S# 22); D, radiolarian rich facies showing radiolarians () and calcispheres () (S# 18); E, Heterohelix sp. () along with radiolarians () and ostracods () (S# 17); F, dolomitized zone between the lime mudstone (MS) and wackestone (WS) (S# 11); G, tectonic induced fracturing (S# 07); H, radiolarians () and zoned ferroan dolomite crystals in the mudstone facies (S# 11); I, well rounded feldspar grains (S# 38); J, chert lithic (S# 36); K, ferruginous matrix (S# 37); L, quartz () and feldspar () grains in Hangu Formation (S# 38). Scale bars: A-C, F, G, 200 µm; D, E, H-L, 100 µm.
FIG. 1 in Foraminiferal biostratigraphy, facies and sequence stratigraphy analysis across the K-Pg Boundary in Hazara, Lesser Himalayas (Dhudial Section)
FIG. 1. — Regional geological map after Burg (2011). The red square corresponds to studied location at Dhudial.
FIG. 9 in Foraminiferal biostratigraphy, facies and sequence stratigraphy analysis across the K-Pg Boundary in Hazara, Lesser Himalayas (Dhudial Section)
FIG. 9. — Sketch showing the platform evolution through different stages. The platform geometry in the early Campanian time (Stage I) during deposition of Kawagarh Formation was characterized by a steeper ramp. An incised valley and sequence boundary developed in Stage II during Selandian and the platform configuration became much gentler during the Thanetian (Stage III) as the accommodation space filled up.
FIG. 7 in Foraminiferal biostratigraphy, facies and sequence stratigraphy analysis across the K-Pg Boundary in Hazara, Lesser Himalayas (Dhudial Section)
FIG. 7. — Chart showing the sequence stratigraphic framework, sea level changes and paleoecology of the Dhudial Section.
FIG. 8 in Foraminiferal biostratigraphy, facies and sequence stratigraphy analysis across the K-Pg Boundary in Hazara, Lesser Himalayas (Dhudial Section)
FIG. 8. — Chart showing the planktonic foraminiferal distribution and biozones of the Dhudial Section.
Mapping 'the constructive turn' in comment sections of news websites
<p>The research project critically examines the guidelines of the comments sections of the twenty largest online news outlets over the last ten years. Rather than focusing on the familiar negative comments of news consumers and their narratives, we analyze and compare the news outlets’ guidelines and how they have led in what we call ‘a constructive turn’. We propose our own theoretical framework to analyze what is encouraged and what is discouraged in news outlets’ guidelines. Results show an increasing focus on constructiveness in the guidelines of the comment sections and a shift to more positivity, rather than on deleting and filtering negative or toxic comments. Although platforms differ in their views on the role of commenting and the definition of constructiveness, the turn towards the constructive design of the commenting platform is shared among them.</p> <p>This dataset contains the commentary guidelines in the top 20 English-language online news websites of December 2020 based on research conducted by Similar Web (Source: Similar Web for Gazette). For each news publication, the current commentary guidelines were scrapped from the internet, alongside earlier versions of their guidelines. In total, three moments were used to map the guidelines: 2021, 2015 and 2010. The content was analysed through coding using Nvivo software. We applied a bottom-up approach - by creating simple codes and eventually grouping them together. Each set of guidelines was coded on what behaviour was <em>encouraged</em> and what was <em>discouraged</em> by the news outlet, and what kind of <em>discussion environment </em>the news outlet expects from their commenters in general (e.g. entertaining, healthy, inclusive etc.). </p> <p>This dataset contains coded content for the project. Following logic was used in uploading the documents:</p> <p>1 - Nvivo project file - can be opened using Nvivo for Mac - contains all information (files, codes, etc.)</p> <p>We also upload more user-friendly data (the following documents are uploaded in MS Word format):</p> <p>2 - Codebook (provides the logical structure of coding applied + number of codes for each category)<br> 3 - Code excerpts for discouraged elements found in the content<br> 4 - Code excerpts for encouraged elements found in the content<br> 5 - Code excerpts for discussion environment elements found in the content</p> <p>Disclaimer: The user-generated content guidelines of news media companies are their own intellectual property and we do not own any rights to it. </p> <p><br> </p>
ATMOZ Gorshelev Huggins Ozone Band Absorption Cross-Section
<p>See PDF file for more information.</p>
Dataset of the study "Thirty seconds sit-to-stand test as an alternative for estimating peak oxygen uptake and six-minutes walking distance in women with breast cancer: a cross-sectional study"
<p>Data was collected to study the usefulness of the thirty seconds sit-to-stand test as an alternative for estimating peak oxygen uptake and six-minutes walking distance in women with breast cancer, which is a cross-sectional study derived from the ONCORE project (Randomized controlled trial on comprehensive exercise-based cardiac rehabilitation program for the prevention of anthracyclines and/or anti-HER2 antibodies-induced cardiotoxicity in breast cancer), ClinicalTrials.gov Identifier: NCT03964142</p> <p> </p> <p>DATASET FILE (xlsx) includes 4 sheets:<br> - Dataset_variables: all variables collected pre-post intervention<br> - Descriptive data (baseline): variables used for the descriptive analysis before the intervention (baseline)<br> - Data_CPET-30STS(pre-post): pooled data from CPET-30STS pre-post intervention<br> - Data_6MWD-30STS(pre-post): pooled data from 6MWD-30STS pre-post intervention</p>
Dataset: Cross-Sectional National Survey on Risk Perception and Tourism Behaviour (SNF NRP 78)
<p>The data set contains scales (<em>rating items</em>) on the willingness of the Swiss resident population to take risks in connection with touristic travel during the coronavirus pandemic. The data includes a selection of items of the <em>Domain-Specific Risk-Taking Scale</em> (<em>DOSPERT) </em>(Weber et al., 2002). The data contains measures of the <em>health belief model</em> (<em>HBM</em>; Rosenstock, 1960, see also Champion & Skinner, 2008) that is used both in health research and in tourism research to explain and predict the preventive health behaviour of individuals. Furthermore, the data covers all three elements of the t<em>heory of planned behaviour (</em>Ajzen, 1991). This is a representative data set for the Swiss population aged 18 and above. A trilingual and national survey of the Swiss resident population was carried out in the period from March to May 2021. A letter of invitation to participate in the study was sent by post to a total of 4,530 randomly selected persons residing in Switzerland. The address data was provided by the Federal Statistical Office (BfS). Of the total of 4,530 people contacted, 164 were reported as unreachable (no longer at the address, deceased, or due to old age). A total of 1,683 persons participated in the survey. This corresponds to a response rate of 39%. The structure of the respondents corresponds to that of the Swiss resident population 18 years of age and older with regard to gender, age, and language region.</p> <p>Ajzen, I. (1991). The theory of planned behavior. <em>Organizational Behavior and Human Decision Processes</em>, <em>50</em>(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T</p> <p>Weber, E., Blais, A.-R., & Betz, N. E. (2002). A domain-specific risk-attitude scale: Measuring risk perceptions and risk behaviors. <em>Journal of Behavioral Decision Making</em>, <em>15</em>, 263–290. https://doi.org/10.1002/bdm.414</p> <p>Champion, V. L., & Skinner, C. S. (2008). The health belief model. In K. Glanz, B. Rimer, & K. Viswanath (Eds.), <em>Health behavior and health education: Theory, research, and practice</em> (4th ed., pp. 45–65). San Francisco, CA: Jossey-Bass.</p> <p>Rosenstock, I. M. (1960). What research in motivation suggests for public health. <em>American Journal of Public Health, 50</em>(3), 295-302. https://doi.org/10.2105/AJPH.50.3_Pt_1.295</p>
Experimental assessment of the mixing quality in a circular cross-sectional t-shaped mixer for the precipitation of sparingly soluble compounds
<p>Precipitation processes have been successfully proved to be a feasible route to extract high-value products from wastes. However, reactive crystallization is characterized by fast kinetics, especially when highly concentrated solutions are used or sparingly soluble compounds precipitate, thus requiring a fast mixing of the reactants. In this context, T-shaped mixers have been extensively investigated both experimentally and numerically as a mean to achieve a rapid reactants homogenization. Many research efforts have been focused on the analysis of rectangular cross-sectional T-shaped mixers, while less attention has been devoted to the study of circular cross-sectional ones. In the present work, mixing times in a 3 mm circular cross-sectional T-shaped mixer have been optically estimated by exploiting the extremely fast neutralization reaction between sodium hydroxide and hydrochloric acid solutions. Reynolds numbers ranging between 1,000 and 6,000 were investigated. Mixing phenomena were (i) captured by detecting the colour change of a pH indicator by means of a high frame rate camera and (ii) quantified by a suitable image analysis technique. The assessed mixing times were found in accordance with available data in the literature.</p>
Data and code for publication: A simple preparation protocol for shipping and storage of tissue sections for laser ablation-inductively coupled plasma-mass spectrometry imaging
<p>Data & Code release for publication:</p> <p>Rebecca Buchholz, Sebastian Krossa, Maria K Andersen, Michael Holtkamp, Michael Sperling, Uwe Karst, May-Britt Tessem, A simple preparation protocol for shipping and storage of tissue sections for laser ablation-inductively coupled plasma-mass spectrometry imaging, <em>Metallomics</em>, Volume 14, Issue 3, March 2022, mfac013, <a href="https://doi.org/10.1093/mtomcs/mfac013">https://doi.org/10.1093/mtomcs/mfac013</a></p> <p>Python code for LA ICP MS imaging data segmentation</p> <p>Code & Data also on <a href="https://github.com/sekro/la-icp-msi_segmentation">github</a></p> <p>Thresholding based segmentation of LA-ICP-MS imaging data</p> <p>Description</p> <p><a href="https://github.com/sekro/la-icp-msi_segmentation/blob/master/src/main.py">src/main.py</a> - run this to process LA ICP MS data in data folder - generates matplotlib.figures - project specific setup <a href="https://github.com/sekro/la-icp-msi_segmentation/blob/master/src/laicpms_data_handler.py">src/laicpms_data_handler.py</a> - contains object to import, handle and segment (shimadzu) raw data</p> <p>Dependencies</p> <p>Python 3.8.1 or newer</p> <p>For packages see <a href="https://github.com/sekro/la-icp-msi_segmentation/blob/master/requirements.txt">requirements.txt</a></p> <p>Data</p> <p>LA-ICP-MS imaging data of human prostate tissue of the elements Zn, Fe & P. Details on data generation & collection in <a href="https://doi.org/10.1093/mtomcs/mfac013">publication</a>. LA-ICP-MS imaging data as plain text files (comma-separated values)</p> <ul> <li>Condition 1 = fresh frozen (FF)</li> <li>Condition 2 = room temperature vacuum dried and sealed (RTV)</li> <li>Condition 3 = formalin fixed (FFix)</li> <li>Condition 4 = formalin fixed, paraffin sealed (FFPS)</li> </ul> <p>3 replicate sectioning sets named A, B, C</p> <p>File-naming: LA_Data_CISN1.csv, where I = [1, 2, 3, 4] is indicating the condition used and N = [A, B, C] is indicating the replicate set</p> <p>License</p> <p>Data</p> <p>CC-BY 4.0 - respective <a href="https://github.com/sekro/la-icp-msi_segmentation/blob/master/data/LICENSE">LICENSE</a> file in data folder</p> <p>Source code</p> <p>MIT - respective <a href="https://github.com/sekro/la-icp-msi_segmentation/blob/master/src/LICENSE">LICENSE</a> file in src folder</p>
FIG.4 in A revision of Solanum section Herpystichum
FIG.4. Summary phylogeny of Solanum sect. Herpystichum based on based on plastid psbA-trnH, trnT-trnF, and trnS-trnG, and nuclear waxy, ITS, cos1C, cos5, cos9B, cos10B, and cos11 sequences (E. J. Tepe et al. 2011). For clarity, replicate accessions of all species except for S. evolvulifolium and S. pentaphyllum have been omitted. Provenance is indicated for species with multiple accessions, species with compound leaves are underlined, and the asterisk indicates an especially robust specimen of S. evolvulifolium. The topology is based on Bayesian analyses, and branch support values are Bayesian posterior probabilities/maximum parsimony bootstrap.
FIG.1 in A revision of Solanum section Herpystichum
FIG.1. Flowers fruits, and habit of Solanum sect. Herpystichum: A. Solanum limoncochaense, habit, flower, and bud. B. S. limoncochaense fruit in situ and C. in cross section (E. J. Tepe & S. Stern 2627, QCNE). D. S. trifolium flower and leaf (E. J. Tepe & S. Stern 2682, QCNE). E. S. phaseoloides habit, flower, and leaf (photo by W. H. Haber). F. S. crassinervium habit (E. J. Tepe & S. Stern 2729, QCNE), and G. flowers (S. Stern & E. J. Tepe 400, QCNE). H. S. evolvulifolium habit and flower, and I. fruit (immature) (E. J. Tepe & S. Stern 2671, QCNE). J. S. pacificum inflorescence with flowers, buds, and fruit (immature), and K. habit (E. J. Tepe et al. 2696, QCNE). L. S. loxophyllum habit, note adventitious roots at nodes, and M. older stem with inflorescences, note figure eightshaped stem (E. J. Tepe & S. Stern 2726, QCNE). Inflorescences emerge from the cleft between the two lobes of the stem.
FIG.2 in A revision of Solanum section Herpystichum
FIG.2. Flowers, fruits, and habit of Solanum sect. Herpystichum. A. Solanum pentaphyllum, habit and flower (from O. Haught 2551, F). B. S. dalibardiforme, habit and flower (from K. von Sneidern 3121, US). C. S. dolichorhachis, habit, flower, and immature fruit (from F. H. Eggers 14641, A).
FIG. 8 in A Revision of Solanum Section Gonatotrichum
FIG. 8. Photos of type collection of S. evolvuloides (Giacomin 974, BHCB). A. Habit. B. Flower; note glandular hairs on calyx. C. Flower; note the elongated lowermost stamen. D. Flower. E. Fruit; note the thin, nearly transparent skin. Scale bars: A = 2 cm. B = 5 mm. C, D, E = 1 cm.
FIG. 11 in A Revision of Solanum Section Gonatotrichum
FIG. 11. Photos of type collection of S. manabiense (Stern & Tepe 377, QCNE). A. Habit. B. Flower; note hairs on stem and leaves. C. Fruit, with skin becoming transparent as turgor pressure increases. D. Roadside habitat in Manabí, Ecuador and author with type collection. Scale bars: A = 10 cm. B, C = 5 mm. (reprinted with permission of the Botanical Research Institute of Texas).
FIG. 5 in A Revision of Solanum Section Gonatotrichum
FIG. 5. Distribution of S. adscendens, S. evolvuloides, S. hoffmanseggii, S. olympicum, and S. turneroides.
FIG. 4 in A Revision of Solanum Section Gonatotrichum
FIG. 4. Solanum adscendens (Stehmann 6005, BHCB). A. Habit; note the cordate leaf bases. B. SEM of the abaxial leaf surface; note the long, straight hairs and the minute glandular hairs. C. Fruit. D. Flower. E. Calyx and leaves. Scale bars: A = 2 cm. B = 200 Mm. C, E = 1 cm. D = 5 mm.
FIG. 3 in A Revision of Solanum Section Gonatotrichum
FIG. 3. Parsimony strict consensus tree of Solanum section Gonatotrichum and outgroups based on plastid trnT-trnF and nuclear waxy and ITS (from Stern and Bohs 2012).
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.