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11,177 results for “identify”
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Carlos López González, <a href="http://www.wikidata.org/entity/Q112056662">http://www.wikidata.org/entity/Q112056662</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Amalie Dietrich, <a href="http://www.wikidata.org/entity/Q76851">http://www.wikidata.org/entity/Q76851</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by José Planellas Giralt, <a href="http://www.wikidata.org/entity/Q21523046">http://www.wikidata.org/entity/Q21523046</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Matsumura Jinzō, <a href="http://www.wikidata.org/entity/Q3179271">http://www.wikidata.org/entity/Q3179271</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Norman I. Platnick, <a href="http://www.wikidata.org/entity/Q1333409">http://www.wikidata.org/entity/Q1333409</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Juan Rodríguez Oubiña, <a href="http://www.wikidata.org/entity/Q26712445">http://www.wikidata.org/entity/Q26712445</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Gabor Wolff, <a href="http://www.wikidata.org/entity/Q21612920">http://www.wikidata.org/entity/Q21612920</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Identifying contaminants of coal inertinite in charcoal briquettes: Preliminary findings of microscopic analysis
<p>Submitted data was used to write an article: Jelonek, Z., Jelonek, I., Identifying coal-derived inertinite in charcoal briquettes: Preliminary findings of microscopic analysis – article sent for review to the International Journal of Coal Geology. </p> <p> </p> <p><strong>Funding acknowledgments:</strong> The project is co-financed by the Polish National Agency for Academic Exchange within the Polish Returns Programme (BPN/PPO/2021/1/00005/DEC/1), the National Science Center, Poland (2022/01/1/ST10/00024), and the research activities co-financed by the funds granted under the Research Excellence Initiative of the University of Silesia in Katowice, Poland. </p> <p> </p> <p><strong>Article Abstract</strong>: Despite the widespread popularity of charcoal-based grilling fuels, extensive studies have highlighted various pollutants linked to their production and combustion, posing potential risks to human health and the environment. Since the presence of impurities has been identified as a factor contributing to elevated emissions of harmful gases and particulate matter, a comprehensive quality assessment of grilling fuels is imperative to effectively manage and minimize potential risks to customer health and safety.</p> <p>While identifying many impurities in solid biomass fuels is possible through microscopic analysis, identifying fossil coal contaminants in charcoal briquettes can be challenging. The biggest difficulty arises when coal-derived inertinite and man-made charcoal need to be distinguished as both exhibit numerous visual similarities in microscopic images. Therefore, the goal of this study was to examine the optical morphology of inertinite and charcoal with the aim of differentiating them when they co-occur in charcoal briquettes.</p> <p>The results show that employing high differential interference (DIC) and fluorescence filters, coupled with reflected white light in microscopic analysis, can enhance the observations allowing for easier detection of impurities of inertinite in charcoal-based grilling fuels. Among the most notable distinctions are the high degree of cellular structure preservation and the presence of small pores and protrusions in man-made charcoal; these characteristics are typically absent in the inertinite fragments.</p>
Рис. 1. Рисуночный кΛюч ΑΛя опреΑеΛения самцов виΑов роΑа Asperotobrilus Shoshin 1991. А, Г, Ж, И, Н — гоΛова самца; Б, О — суппΛемент; В, Е, З, Λ — заΑний конец теΛа самца; Á, К — спикуΛы и руΛек; М — самец цеΛиком Fig. 1. Picture key for identifying male species of the genus Asperotobrilus Shoshin 1991. А, Г, Ж, И, Н — head of male; Б, О — supplement; В, Е, З, Λ — posterior body end of male; Á, К — spicules and gubernaculum; М — male, entire body in Review of the Asperotobrilus Shoshin 1991 (Nematoda, Triplonchida, Tobrilidae) genus
Рис. 1. Рисуночный кΛюч ΑΛя опреΑеΛения самцов виΑов роΑа Asperotobrilus Shoshin 1991. А, Г, Ж, И, Н — гоΛова самца; Б, О — суппΛемент; В, Е, З, Λ — заΑний конец теΛа самца; Á, К — спикуΛы и руΛек; М — самец цеΛиком Fig. 1. Picture key for identifying male species of the genus Asperotobrilus Shoshin 1991. А, Г, Ж, И, Н — head of male; Б, О — supplement; В, Е, З, Λ — posterior body end of male; Á, К — spicules and gubernaculum; М — male, entire body
Fig. 6 in Comparative transcriptome analysis of three Bactrocera dorsalis (Diptera: Tephritidae) organs to identify functional genes in the male accessory glands and ejaculatory duct
Fig. 6. Four examples of the tissue expression profiling of unknown distinct unigenes (>500 bp) expressed highly in male accessory glands and ejaculatory duct tissue of Bactrocera dorsalis. Relative expression levels were determined as described in Fig. 5.
Fig. 4 in Comparative transcriptome analysis of three Bactrocera dorsalis (Diptera: Tephritidae) organs to identify functional genes in the male accessory glands and ejaculatory duct
Fig. 4. Kyoto encyclopedia of gene and genomes (KEGG) analysis of unigenes expressed highly in male accessory glands and ejaculatory duct tissue of Bactrocera dorsalis. Each category contains more than 1 unigene sequences.
Fig. 2 in Comparative transcriptome analysis of three Bactrocera dorsalis (Diptera: Tephritidae) organs to identify functional genes in the male accessory glands and ejaculatory duct
Fig. 2. Clusters of orthologous groups (COG) functional classification of unigenes expressed highly and specifically in male accessory glands and ejaculatory duct tissue of Bactrocera dorsalis.
Fig. 1 in Comparative transcriptome analysis of three Bactrocera dorsalis (Diptera: Tephritidae) organs to identify functional genes in the male accessory glands and ejaculatory duct
Fig. 1. Statistics of sequences expressed specifically in each analyzed tissue of Bactrocera dorsalis.
Fig. 5 in Comparative transcriptome analysis of three Bactrocera dorsalis (Diptera: Tephritidae) organs to identify functional genes in the male accessory glands and ejaculatory duct
Fig. 5. Six examples of the tissue expression profiling of predicted distinct unigenes (>500 bp) expressed highly in male accessory glands and ejaculatory duct tissue of Bactrocera dorsalis. Relative expression levels were determined by qRT-PCR in head (HE), thorax (TH), abdomen (AB), midgut (MG), fat body (FB), Malpighian tubules (MT), testes (TE), and male accessory glands and ejaculatory duct (MAG) samples from B. dorsalis males. Relative expression levels were calculated based on the value in head, which was ascribed an arbitrary value of 1. Different letters above the bars indicate significant differences based on Tukey's test (P ≤ 0.05).
Fig. 3 in Comparative transcriptome analysis of three Bactrocera dorsalis (Diptera: Tephritidae) organs to identify functional genes in the male accessory glands and ejaculatory duct
Fig. 3. Gene ontology (GO) classification of unigenes expressed highly in male accessory glands and ejaculatory duct tissue of Bactrocera dorsalis.
Fig. 1. Samples were identified within a in Diversity of Cryptosporidium in brush-tailed rock-wallabies (Petrogale penicillata) managed within a species recovery programme
Fig. 1. Samples were identified within a phylogenetic framework with the tree constructed using neighbour-joining with bootstrap test (1,000 replicates, displayed at nodes) using the 18S rRNA locus (878 bp). KV denotes Kangaroo Valley.
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Frank Boyd Cotner, <a href="http://www.wikidata.org/entity/Q127800606">http://www.wikidata.org/entity/Q127800606</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Alfred Moritz Schlimpert, <a href="http://www.wikidata.org/entity/Q94893103">http://www.wikidata.org/entity/Q94893103</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Fig. 3. Maximum Likelihood tree for the 35 haplotypes identified from 39 in Molecular confirmation of Hymenolepis hibernia in field mice (Apodemus sylvaticus) from St Kilda has potential to resolve a host-parasite relationship
Fig. 3. Maximum Likelihood tree for the 35 haplotypes identified from 39 mt-cox-1 sequences of Hymenolepis species. Of these, 19, 5, 2 and 8 haplotypes are identified in the Genbank database as H. diminuta, H. hibernia, H. microstoma and H. nana, respectively, and one haplotype (H-HA25) was identified here from the faeces of St Kilda mice 9 and X. Branches with bootstrap values (1000 replications) represented at the base of the nodes. The phylogeny is rooted with mt-cox-1 sequence of parasitic nematode H. contortus.
Fig. 2 in Combination of nuclear and mitochondrial markers as a useful tool to identify Ctenophthalmus species and subspecies (Siphonaptera: Ctenophthalmidae)
Fig. 2 Morphological characteristics of males of C. b. arvernus and C. n. dobyi. A—C. b. arvernus distal arm of IX sternum (arrowed); B—C. b. arvernus dorsal process basimere with only one long setae (arrowed); C—C. b. arvernus ventral process basimere with an apical slot
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.