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FIG. 4 in Concentration data of (+)-usnic acid enantiomer from some European and African samples of Flavoparmelia caperata (L.) Hale (Parmeliaceae, lichenised Ascomycota) - results of a preliminary study
FIG. 4. — UPLC-PDA-MS analysis of acetone extract of Flavoparmelia caperata (L.) Hale: A, chromatogram showing peaks detected at 280 nm, where (+)-usnic acid eluting at 7.59 minutes; B, extraction ion chromatogram of the ion at m/z 343.10 detection in negative ion mode, corresponding to deprotonated usnic acid molecular ion; C, total ion chromatogram; D, UV spectrum of usnic acid; E, mass spectrum of usnic acid.
FIG. 3 in Concentration data of (+)-usnic acid enantiomer from some European and African samples of Flavoparmelia caperata (L.) Hale (Parmeliaceae, lichenised Ascomycota) - results of a preliminary study
FIG. 3. — Usnic acid, protocetraric acid (p) and caperatic acid (c) sampled from specimens of Flavoparmelia caperata (L.) Hale collected in Europe (HU, Hungary; SRB, Serbia) and Africa (Afr) are presented on developed HPTLC plates (in solvent system C according to Arup et al. 1993) with control: A, under UV 254 nm; B, sprayed with water; C, in daylight after spraying with 10% sulphuric acid and charring.
FIG. 2 in Concentration data of (+)-usnic acid enantiomer from some European and African samples of Flavoparmelia caperata (L.) Hale (Parmeliaceae, lichenised Ascomycota) - results of a preliminary study
FIG. 2. — Collecting sites of the investigated samples of Flavoparmelia caperata (L.) Hale (Table 1): A, in Hungary and Serbia; B, in Kenya and Tanzania.
FIG. 5 in Concentration data of (+)-usnic acid enantiomer from some European and African samples of Flavoparmelia caperata (L.) Hale (Parmeliaceae, lichenised Ascomycota) - results of a preliminary study
FIG. 5. — Usnic acid enantiomers in the lichen Flavoparmelia caperata (L.) Hale: A, the chiral HPLC chromatogram showing separation of usnic acid enantiomer standards: (+)-usnic acid eluting at 8.44 min and (-)-usnic acid eluting at 9.59 min; B, the chromatogram showing only (+)-usnic acid present in F. caperata.
FIG. 1 in Concentration data of (+)-usnic acid enantiomer from some European and African samples of Flavoparmelia caperata (L.) Hale (Parmeliaceae, lichenised Ascomycota) - results of a preliminary study
FIG. 1. — Thalli of Flavoparmelia caperata (L.) Hale, in their habitats in Hungary: A, on bark of Quercus sp. (sample 4); B, on andesite rock (near sample 11). Herbarium specimens: C, from Kenya (VBI 6044, sample 19); D, E, from Tanzania (VBI 6169, sample 20; VBI 6251, sample 23). Photographs taken by E. Farkas. Scale bars: 1 cm.
Data for lodubay/galactic-dtd: Multi-Zone Galactic Chemical Evolution Model Outputs and APOGEE Sample
<p>Data for <a href="github.com/lodubay/galactic-dtd">lodubay/galactic-dtd</a>, a project exploring different models for the Type Ia supernova delay-time distribution (DTD) in multi-zone galactic chemical evolution models with the <a href="github.com/giganano/VICE">VICE</a> package. This dataset contains two files: <code>multizone.tar.gz</code> is a compressed archive of all 33 multi-zone outputs (combinations of 8 DTDs x 4 star formation histories, plus one with an alternate stellar migration scheme), and <code>sample.csv</code> contains chemical abundance data from the <a href="https://www.sdss4.org/surveys/apogee/">APOGEE survey</a> (data release 17) and stellar ages from <a href="https://ui.adsabs.harvard.edu/abs/2023MNRAS.tmp.1191L">Leung et al. (2023)</a>. This project is made reproducible with <code>showyourwork</code>, which will automatically download and extract all data from this deposit when it builds the article.</p> <p>This version contains a minor update to the APOGEE sample file.</p>
FIG. 7 in Sampling the depth: New data on the Caecidae (Mollusca, Gastropoda) from northeastern Papua New Guinea
FIG. 7. — Caecum Fleming, 1813 new species: A-C, Caecum temporale n. sp.: A, B, holotype MNHN-IM-2012-37957; C, specimen from Stn DW4464 MNHN-IM-2000-38950; D-I, Caecum lozoueti n. sp.: D, E, specimen from Stn CP3957 MNHN-IM-2022-2398; F-I, holotype MNHN-IM-2012-37972. Scale bars: A, B, D-G, 1 mm; C, 0.5 mm, details not to scale. Image courtesy of D. Geiger (A), M. Hennion (B, G) and A. Le Goff (F, H, I).
FIG. 8 in Sampling the depth: New data on the Caecidae (Mollusca, Gastropoda) from northeastern Papua New Guinea
FIG. 8. — Mauroceras Vannozzi, 2019 species from deep-water stations from northeastern PNG: A, B, M. kajiyamai (Habe, 1963) from Stn CP3680 (B, juvenile); C, M. kajiyamai from Stn DW4465; D, E, M. rhinoceros (Pizzini, Raines & Vannozzi, 2013) from Stn DW4470; F, G, M. serratum (Vannozzi, 2017) from Stn DW4465 (G, growth stage). Scale bar: 1 mm.
FIG. 4. — Caecum restrictum n in Sampling the depth: New data on the Caecidae (Mollusca, Gastropoda) from northeastern Papua New Guinea
FIG. 4. — Caecum restrictum n. sp.: A-D, holotype MNHN-IM-2000-38944; E, F, paratypes MNHN-IM-2000-38945 from type locality; G, specimen from Stn DW3754 (MNHN). Scale bar: 1 mm, details not to scale.
FIG. 6 in Sampling the depth: New data on the Caecidae (Mollusca, Gastropoda) from northeastern Papua New Guinea
FIG. 6. — Caecum Fleming, 1813 species from deep-water stations from northeastern PNG: A-D, C. dakuwaqa Pizzini, Raines & Vannozzi, 2013 from Stn DW4470 (C, D: juvenile); E, C. dakuwaqa from Stn DW4463; F, C. cf. succineum from Stn DW4495; G, C. neocaledonicum de Folin, 1868 from Stn DW4470; H, C. neocaledonicum from Stn DW4464; I, C. frugi Vannozzi, 2019 from Stn DW4412; J, C. frugi juv. from Stn CP4418; K, C. neoguineanum Vannozzi, 2019 from Stn DW4495; L, C. sp. from Stn DW4465 MNHN-IM-2022-2399. Scale bars: A-H, K, L, 1 mm; I, J, 0.5 mm.
FIG. 5. — Caecum miliarium n in Sampling the depth: New data on the Caecidae (Mollusca, Gastropoda) from northeastern Papua New Guinea
FIG. 5. — Caecum miliarium n. sp.: A-D, holotype MNHN-IM-2000-38946; E-I, paratypes MNHN-IM-2000-38947; E, growth stage; F, specimen with partially worn temporary septum; H-I, postlarval specimen, different views. Scale bar: 1 mm, details not to scale.
FIG. 2 in Sampling the depth: New data on the Caecidae (Mollusca, Gastropoda) from northeastern Papua New Guinea
FIG. 2. — Caecum Fleming, 1813 species from deep-water stations from northeastern PNG: A, B, C. sepimentum de Folin, 1868 from Stn DW4463 (B: juvenile); C, D, C. sepimentum from Mactan, Philippines, beached (coll. WR); E-H, C. vertebrale Hedley, 1899 from Stn DW3754; I, J, C. japonicum (Habe, 1978) from Stn. DW4464; K, L, C. japonicum from Stn DW4463 (L, juvenile); M, C. inflatulum Vannozzi, 2017 from Stn DW4463; N, C. inflatulum from Kotok, Indonesia, beached (coll. WR). Scale bar: 1 mm, details not to scale.
FIG. 9 in Sampling the depth: New data on the Caecidae (Mollusca, Gastropoda) from northeastern Papua New Guinea
FIG. 9. — Parastrophia de Folin, 1869 species from deep-water stations from northeastern PNG: A-C, P. megadattilida Pizzini, Raines & Vannozzi, 2013 from Stn DW4463; D, E, P. cf. ivani Vannozzi, 2017 from Stn DW4470 (D) and Stn DW4487 (E). Scale bar: 1 mm.
A compilation of beryllium-isotope, element, and grainsize data from sediments sampled from Prydz Bay and beneath Amery Ice Shelf, East Antarctica
<p>All tables are included in a single .xlsx file across three sheets. Each sheet includes sample information data: expedition and sample location information, reference to corresponding method section in text, and a reference to the source of the method employed for different procedures, or the reference to source data. Footnotes are used where necessary to explain a component of a table.</p> <p><strong>Supplementary Table 1:</strong> All beryllium data used for Sequential, Grainsize, Partial, and Total experiments described in text. 10Be concentration and corresponding 1-sigma (10^8 at/g), 9Be concentration and corresponding 1-sigma (10^15 at/g), and the 10Be/9Be ratio and corresponding 1-sigma (10^-8 at/at).</p> <p><strong>Supplementary Table 2: </strong>Element concentrations (µg/g) from samples across open marine and sub-ice shelf environments and their resultant enrichment factors (EF). Enrichment factors calculated using in text Equation 1. Estimated crustal abundance and ratio displayed below the data table.</p> <p><strong>Supplementary Table 3: </strong> Grainsize of samples used in this study. </p> <p> </p> <p>This research was supported by the Australian Research Council Special Research Initiative, Australian Centre for Excellence in Antarctic Science (Project Number SR200100008).</p>
Рис. 7. Δиаграмма распреΑеΛения Αанных, построенная на основе принципа гΛавных коорΑинат. Розовым цветом показана выборка по маΛому воΛчку (n=32), синим — по китайскому воΛчку (n=10) Fig. 7. Data distribution diagram based on the principal coordinates. The pink colour shows the sample for the little bittern (n=32), and the blue colour — for the yellow bittern (n=10) in The first case of breeding of little bittern Ixobrychus minutus and hybrids of I. minutus with I. sinensis in the Russian Far East
Рис. 7. Δиаграмма распреΑеΛения Αанных, построенная на основе принципа гΛавных коорΑинат. Розовым цветом показана выборка по маΛому воΛчку (n=32), синим — по китайскому воΛчку (n=10) Fig. 7. Data distribution diagram based on the principal coordinates. The pink colour shows the sample for the little bittern (n=32), and the blue colour — for the yellow bittern (n=10)
Рис. 1. ФиΛогенетические Αеревья хантавируса AMRV и его прироΑного носитеΛя восточноазиатской мыши Apodemus peninsulae Thomas, 1906. А. ФиΛогенетическое Αерево восточноазиатской мыши Apodemus peninsulae, построенное метоΑом «максимаΛьного правΑопоΑобия» (ML) и поΛученное на основе анаΛиза участка гена цитохрома b мтΔНК (744 п.н.). В узΛах ветвΛения указаны бутстреп-поΑΑержки, рассчитанные ΑΛя 1000 повторов. Цветными Λиниями обозначены фиΛогенетические Λинии: Αве Китайские (зеΛеный), Корейская «Korea» (синий), Амурская «Amur» (красный). ПоΛужирным шрифтом выΑеΛены собственные образцы. Названия образцов из GenBank/NCBI быΛи сокращены; B. ФиΛогенетическое Αерево из работы Α. Н. Яшиной с ΑопоΛнениями, построенное метоΑом «бΛижайшего сосеΑа» (NJ) на основе посΛеΑоватеΛьностей фрагмента М-сегмента (2737–2980 н.п.) генома хантавирусов. В узΛах ветвΛения указаны бутстреппоΑΑержки, рассчитанные ΑΛя 1000 повторов. Жирным выΑеΛены иссΛеΑованные РНК изоΛяты (Яшина 2012; Яшина и Αр. 2019) Fig. 1. Phylogenetic trees of AMRV and its natural reservoir host — the Korean field mouse Apodemus peninsulae Thomas, 1906. A. Phylogenetic tree of the Korean field mouse Apodemus peninsulae constructed by the "maximum likelihood" method (ML). The data are obtained from the analysis of the cytochrome b mtDNA gene fragments (744 bp). Bootstrap supports calculated for 1,000 repeats are indicated in the branching nodes. Colored lines indicate phylogenetic lines: two Chinese (green), Korea (blue), and Amur (red). Own samples are highlighted in bold. The names of the samples from GenBank/NCBI have been shortened; B. Phylogenetic tree from L. N. Yashina's work with additions constructed by the neighbour joining method (NJ). It is based on the sequences of an M-segment fragment (2737–2980 bp) of the hantavirus genome. Bootstrap supports calculated for 1,000 repeats are indicated in the branching nodes. The researched RNA isolates are highlighted in bold (Yashina 2012; Yashina et al. 2019) in Variability of the gene cyt b in the Korean field mouse Apodemus peninsulae Thomas, 1906 - a reservoir host of AMRV in the Khasansky District of Primorsky Krai
Рис. 1. ФиΛогенетические Αеревья хантавируса AMRV и его прироΑного носитеΛя восточноазиатской мыши Apodemus peninsulae Thomas, 1906. А. ФиΛогенетическое Αерево восточноазиатской мыши Apodemus peninsulae, построенное метоΑом «максимаΛьного правΑопоΑобия» (ML) и поΛученное на основе анаΛиза участка гена цитохрома b мтΔНК (744 п.н.). В узΛах ветвΛения указаны бутстреп-поΑΑержки, рассчитанные ΑΛя 1000 повторов. Цветными Λиниями обозначены фиΛогенетические Λинии: Αве Китайские (зеΛеный), Корейская «Korea» (синий), Амурская «Amur» (красный). ПоΛужирным шрифтом выΑеΛены собственные образцы. Названия образцов из GenBank/NCBI быΛи сокращены; B. ФиΛогенетическое Αерево из работы Α. Н. Яшиной с ΑопоΛнениями, построенное метоΑом «бΛижайшего сосеΑа» (NJ) на основе посΛеΑоватеΛьностей фрагмента М-сегмента (2737–2980 н.п.) генома хантавирусов. В узΛах ветвΛения указаны бутстреппоΑΑержки, рассчитанные ΑΛя 1000 повторов. Жирным выΑеΛены иссΛеΑованные РНК изоΛяты (Яшина 2012; Яшина и Αр. 2019) Fig. 1. Phylogenetic trees of AMRV and its natural reservoir host — the Korean field mouse Apodemus peninsulae Thomas, 1906. A. Phylogenetic tree of the Korean field mouse Apodemus peninsulae constructed by the "maximum likelihood" method (ML). The data are obtained from the analysis of the cytochrome b mtDNA gene fragments (744 bp). Bootstrap supports calculated for 1,000 repeats are indicated in the branching nodes. Colored lines indicate phylogenetic lines: two Chinese (green), Korea (blue), and Amur (red). Own samples are highlighted in bold. The names of the samples from GenBank/NCBI have been shortened; B. Phylogenetic tree from L. N. Yashina's work with additions constructed by the neighbour joining method (NJ). It is based on the sequences of an M-segment fragment (2737–2980 bp) of the hantavirus genome. Bootstrap supports calculated for 1,000 repeats are indicated in the branching nodes. The researched RNA isolates are highlighted in bold (Yashina 2012; Yashina et al. 2019)
C. elegans data sample for Pergola documentation
<p>C. elegans data sample for Pergola documentation (<a href="http://cbcrg.github.io/pergola/quick_start.html">http://cbcrg.github.io/pergola/quick_start.html</a>). The sample data set consists in two folders: One named "worm_speeds" containing a CSV file for each of the tracked worms. From the several measures that can be found in the individual files, in this example we will use mid-body speed. The "mapping" folder contains the "worm_speed2pergola.txt", which sets the mappings between the information represented in the worm_speed files and the pergola ontology.</p>
Mouse data sample for Pergola documentation - Shiny visualization
<p>Data sample of feeding and drinking behavior recorded during three weeks of C57BL6/J male mice. The data correspond to 2 groups (9 control mice and 8 high-fat diet mice). Each animal was tracked individually on Phecomp cages for 9 weeks. During the first experimental week all animals were given <em>ad libitum</em> access to a standard chow (habituation phase). After this first week, control mice continued with the same diet regime while high-fat mice were exclusively given <em>ad libitum</em> access to a high-fat chow. Data was used originally in this publication <a href="http://onlinelibrary.wiley.com/doi/10.1111/adb.12595/abstract">10.1111/adb.12595.</a> The recordings were processed using Pergola to BED and BedGraph file formats.</p> <p>The data set consist in:</p> <p>- a exp_info.txt file setting mouse membership to the control or the HF mice.</p> <p>- a files folder containing BED and BedGraph files of mouse feeding behavior.</p>
Taxon sampling and inferred community phylogenies: R replication code and data.
<p>1 ) Code for simulating community phylogenies:</p> <p>community_simulations_creation.R</p> <p>[taxon].gene</p> <p>[taxon].phy</p> <p>[taxon].RAxML_bestTree.tre</p> <p>[taxon].Simulate.A.Community.pl</p> <p>[taxon].Simulate.B.Community.pl</p> <p>[taxon].Simulate.C.Community.pl</p> <p>[taxon].Simulate.D.Community.pl</p> <p> </p> <p>2) R code for creating and comparing phylogenetic diversity metrics:</p> <p>simulated_metric_calculation_and_comparison.R</p> <p>empirical_metric_calculation_and_comparison.R</p> <p> </p> <p>3) R code and data for statistical analyses:</p> <p>simulated_data_analysis.R</p> <p>empirical_data_analysis.R</p> <p>simulated_interval_individual_lme_data.csv</p> <p>simulated_summary_interval_individual_lme_data.csv</p> <p>empirical_interval_individual_lme_data.csv</p> <p>empirical_summary_interval_lme_data.csv</p> <p> </p>
BRAIN Journal-A Robust Approach of Facial Orientation Recognition from Facial Features-Figure 5. Sample Image data 2
<p>It helps to write our code in C# and to make an application in dot net framework, which collects facial images using a webcam/or other video grabbing tools. Then it implements Haar detection to extract facial features and to draw image pattern for matching both images. </p> <p>After image matching, we got a positive result at 93% times, for 1000 random sample images tested on the nine criteria of orientation. </p>
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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.