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FIGURE 2. Masdevallia rubileoixchelorum. A. Habit. B. Flower. C. Dissected perianth. D in A new Masdevallia (Orchidaceae: Pleurothallidinae) from the Ecuadorian Amazon foothills of the Llanganates mountains
FIGURE 2. Masdevallia rubileoixchelorum. A. Habit. B. Flower. C. Dissected perianth. D. Ovary, column and lip in lateral view. E. Lip, in adaxial, lateral and abaxial view. F. Column, ventral view. G. Anther cap and pollinarium. Plate by L. Vélez-Abarca based on the plant that served as type.
Data from: Genetic dissection of grain iron and zinc, and thousand kernel weight in wheat (Triticum aestivum L.) using genome-wide association study
<p>The study material in GWAS panel with 280 common bread wheat genotypes was selected from All India Coordinated Research Project on Wheat and Barley to map the genomic regions responsible for enhanced Grain Zinc Content (GZnC), Grain Iron Content (GZnC) and Thousand Kernel weight (TKW).</p> <p><strong>Phenotypic data:</strong></p> <p>The GWAS panel was evaluated at five different environments: E1-University of Agricultural Sciences, research farm, Dharwad (15°29'20.71"N, 74°59'3.35"E, 750m AMSL), E2-ICAR- Indian Agricultural Research Institute, New Delhi (28°38′30.5″N, 77°09′58.2″E, 228 m AMSL), E3-Indian Agricultural Research Institute, Jharkhand (24°16'58.4"N, 85°21'16.1"E, 651m AMSL), E4-ICAR-Indian Institute of Wheat and Barley, Karnal (29°41'8.2644''N, 76°59'25.9692''E, 250m AMSL), and E5-Punjab Agricultural University, Ludhiana (30o54' N, 75o48'E, 247m AMSL). Around 20 g of grain sample from each genotype were used for phenotyping GFeC and GZnC through high-throughput Energy Dispersive X-ray Fluorescence (ED-XRF) machine (model X-Supreme 8000; Oxford Instruments plc, Abingdon, United Kingdom) calibrated with glass beads-based values. To record TKW, the Numigral grain counter was used to count the grain number, the reading was set at 1000 grains and the weight of the grains was recorded in grams with an electronic balance. The GFeC, GZnC were expressed as milligram per kilogram (mg/kg), GPC in percentage (%), TKW in grams (gms).</p> <p><strong>Genotypic data:</strong></p> <p>Genomic DNA of the GWAS panel was extracted from the leaves of 21 days-old seedlings by Cetyl Trimethyl Ammonium Bromide (CTAB) method. The panel was genotyped using Axiom Wheat Breeder's Genotyping Array (Affymetrix, Santa Clara, CA, United States) having 35,143 genome-wide SNPs. The monomorphic, markers with minor allele frequency (MAF) of <5%, missing data of >20%, and heterozygote frequency >25% were removed from the analysis. The remaining set of 14,790 high-quality SNPs was used in GWAS analysis. The detailed information of the methods and software used, data analysis and GWAS is available at DOI: 10.1038/s41598-022-15992-z.</p>
FIGURE 3. Herminium gongshanense A habitat B dissected flower C in Herminium gongshanense (Orchidaceae), a new species from China
FIGURE 3. Herminium gongshanense A habitat B dissected flower C lateral sepals with part of the ovary D–E column F petals G dorsal sepals H lip and spur I ovary J lateral sepals K spur. Photographed by Dong-Liang Lin.
From Fear to Love: Dissecting Political Trust in China
<p>The data is about the paper "From Fear to Love: Dissecting Political Trust in China"</p>
Dissecting Code Features: An Evolutionary Analysis of Kernel Versus Non-Kernel Code in Operating Systems
<p>The dataset includes evolution data for three systems (FreeBSD.zip,DragonFlyBSD.zip, and ToAruOS.zip). The files contain two types of data: The first is the different versions of code churn data, which represents the amount of code that has been added, modified, and deleted across all files in both versions <em>(e.g. freebsd-src-release-5.5.0_cvs-freebsd-src-release-6.1.0-metrics-churn-file.csv)</em>; The second data is the code pointer values for a particular version <em>(For example, freebsd-src-release-5.5.0_cvs-metrics-und-file.csv)</em>, which are collected by understand scitool. In addition, <em><strong>The evolution of complex of non-kernel files.pdf</strong></em> documents the evolution of complexity of non-kernel files.</p>
Dissecting Code Features: An Evolutionary Analysis of Kernel Versus Non-Kernel Code in Operating Systems.
<p>The dataset includes evolution data for three systems (FreeBSD.zip,DragonFlyBSD.zip, and ToAruOS.zip). The files contain two types of data: The first is the different versions of code churn data, which represents the amount of code that has been added, modified, and deleted across all files in both versions <em>(e.g. freebsd-src-release-5.5.0_cvs-freebsd-src-release-6.1.0-metrics-churn-file.csv)</em>; The second data is the code pointer values for a particular version <em>(For example, freebsd-src-release-5.5.0_cvs-metrics-und-file.csv)</em>, which are collected by understand scitool. In addition, <strong>(Supplementary Results)The_Evolution_of_Complexity_of_Non-Kernel_Code.pdf </strong>documents the evolution of complexity of non-kernel files.</p>
FIGURE 2. Male terminalia. Dissected parts from D in Drosophila (Sophophora) carrolli n. sp., a new species from Brunei, closely related to Drosophila (Sophophora) rhopaloa Bock & Wheeler, 1972 (Diptera: Drosophilidae)
FIGURE 2. Male terminalia. Dissected parts from D. carrolli (A, C, E, G) or D. rhopaloa (B, D, F, H). (A, B) epandrium in dorsal view. Note the differences in sensory bristle length and distribution (blue ovals and arrowheads) as well as genital comb size (blue arrows) between species. The epandrium is always darker overall in D. carrolli. Phallus in ventral view (C, D) and side view (E, F). The phallus conformation in D. carrolli (C, E) is similar to that of D. rhopaloa (D, F), but shows quantitative difference in size and appears sturdier. The looping of the aedeagus base is more open in D. carrolli than in D. rhopaloa (blue double-arrows). (G, H), testes of D. carrolli (G) and D. rhopaloa (H) have similar shapes and coiling, but they appear bigger in D. carrolli, and show a characteristic bright yellow color compared to the dull yellow testes of D. rhopaloa.
FIGURE 6 in A non-destructive virtual dissection by micro-CT reveals diagnostic characters in the type specimen of Caloptilia stigmatella (Lepidoptera: Gracillariidae)
FIGURE 6. Caloptilia stigmatella type. Visualisations of right fore and hindwings of C. stigmatella holotype.
FIGURE 5. Caloptilia stigmatella type. 5 in A non-destructive virtual dissection by micro-CT reveals diagnostic characters in the type specimen of Caloptilia stigmatella (Lepidoptera: Gracillariidae)
FIGURE 5. Caloptilia stigmatella type. 5. Visualisations of left fore and hindwings of C. stigmatella holotype.
FIGURE 4 in A non-destructive virtual dissection by micro-CT reveals diagnostic characters in the type specimen of Caloptilia stigmatella (Lepidoptera: Gracillariidae)
FIGURE 4. Caloptilia stigmatella type. Initial scan of C. stigmatella holotype wings targeted above the pin.
FIGURE 2. Original material. 2 in A non-destructive virtual dissection by micro-CT reveals diagnostic characters in the type specimen of Caloptilia stigmatella (Lepidoptera: Gracillariidae)
FIGURE 2. Original material. 2. Type specimen of Tinea stigmatella (Fabricius, 1781) GLAHM:137070 kept at the Hunterian, University of Glasgow. The handwritten number 34 on the label matches the number in original description by Fabricius.
FIGURE 1 in A non-destructive virtual dissection by micro-CT reveals diagnostic characters in the type specimen of Caloptilia stigmatella (Lepidoptera: Gracillariidae)
FIGURE 1. Original material. The original description of Tinea stigmatella by Fabricius (1781). The description is under the number 34.
FIGURE 3. Caloptilia stigmatella type. Fabrician type C in A non-destructive virtual dissection by micro-CT reveals diagnostic characters in the type specimen of Caloptilia stigmatella (Lepidoptera: Gracillariidae)
FIGURE 3. Caloptilia stigmatella type. Fabrician type C. stigmatella secured in position with dental wax ready for scanning.
Supplementary material 5 from: Khalik MZ, Hendriks K, Vermeulen JJ, Schilthuizen M (2018) A molecular and conchological dissection of the "scaly" Georissa of Malaysian Borneo (Gastropoda, Neritimorpha, Hydrocenidae). ZooKeys 773: 1-55. https://doi.org/10.3897/zookeys.773.24878
Supplementary material 5 from: Khalik MZ, Hendriks K, Vermeulen JJ, Schilthuizen M (2018) A molecular and conchological dissection of the "scaly" Georissa of Malaysian Borneo (Gastropoda, Neritimorpha, Hydrocenidae). ZooKeys 773: 1-55. https://doi.org/10.3897/zookeys.773.24878
Supplementary material 4 from: Khalik MZ, Hendriks K, Vermeulen JJ, Schilthuizen M (2018) A molecular and conchological dissection of the "scaly" Georissa of Malaysian Borneo (Gastropoda, Neritimorpha, Hydrocenidae). ZooKeys 773: 1-55. https://doi.org/10.3897/zookeys.773.24878
Supplementary material 4 from: Khalik MZ, Hendriks K, Vermeulen JJ, Schilthuizen M (2018) A molecular and conchological dissection of the "scaly" Georissa of Malaysian Borneo (Gastropoda, Neritimorpha, Hydrocenidae). ZooKeys 773: 1-55. https://doi.org/10.3897/zookeys.773.24878
Supplementary material 2 from: Khalik MZ, Hendriks K, Vermeulen JJ, Schilthuizen M (2018) A molecular and conchological dissection of the "scaly" Georissa of Malaysian Borneo (Gastropoda, Neritimorpha, Hydrocenidae). ZooKeys 773: 1-55. https://doi.org/10.3897/zookeys.773.24878
Supplementary material 2 from: Khalik MZ, Hendriks K, Vermeulen JJ, Schilthuizen M (2018) A molecular and conchological dissection of the "scaly" Georissa of Malaysian Borneo (Gastropoda, Neritimorpha, Hydrocenidae). ZooKeys 773: 1-55. https://doi.org/10.3897/zookeys.773.24878
Supplementary material 3 from: Khalik MZ, Hendriks K, Vermeulen JJ, Schilthuizen M (2018) A molecular and conchological dissection of the "scaly" Georissa of Malaysian Borneo (Gastropoda, Neritimorpha, Hydrocenidae). ZooKeys 773: 1-55. https://doi.org/10.3897/zookeys.773.24878
Supplementary material 3 from: Khalik MZ, Hendriks K, Vermeulen JJ, Schilthuizen M (2018) A molecular and conchological dissection of the "scaly" Georissa of Malaysian Borneo (Gastropoda, Neritimorpha, Hydrocenidae). ZooKeys 773: 1-55. https://doi.org/10.3897/zookeys.773.24878
Supplementary material 1 from: Khalik MZ, Hendriks K, Vermeulen JJ, Schilthuizen M (2018) A molecular and conchological dissection of the "scaly" Georissa of Malaysian Borneo (Gastropoda, Neritimorpha, Hydrocenidae). ZooKeys 773: 1-55. https://doi.org/10.3897/zookeys.773.24878
Supplementary material 1 from: Khalik MZ, Hendriks K, Vermeulen JJ, Schilthuizen M (2018) A molecular and conchological dissection of the "scaly" Georissa of Malaysian Borneo (Gastropoda, Neritimorpha, Hydrocenidae). ZooKeys 773: 1-55. https://doi.org/10.3897/zookeys.773.24878
Supporting data and code for: Dissecting the transcriptomic basis of phenotypic evolution in the aquatic keystone grazer Daphnia: Part I
<p>Main codes for Dissecting the transcriptomic basis of phenotypic evolution in the aquatic keystone grazer Daphnia.</p>
FIGURE 3. Chone dissected specimen showing internal structures, B in Description of Chone usticensis sp. nov. (Polychaeta, Sabellidae) from the Mediterranean Sea
FIGURE 3. Chone dissected specimen showing internal structures, B) internal structure from a large specimen. Dpa = dorsal pinnular appendage; dl = dorsal lip; vra = ventral radiolar appendage; vl = ventral lip.
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.