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30,817 results for “type”
FIGURE 29 in Characterization of Platymessa with redescription of the type species and a new generic synonymy (Arachnida, Opiliones, Cosmetidae)
FIGURE 29. Northern Andes of Colombia, showing the recorded localities of Platymessa h-inscriptum Mello-Leitão, 1941. Colored patches on the background represent WWF Terrestrial Ecoregions of the World. Relevant Colombian departments and WWF ecoregions are labeled.
FIGURES 6–11 in An illustrated catalogue of the types of Stratiomyidae (Diptera: Brachycera) in the collection of Museu Nacional, Rio de Janeiro, Brazil
FIGURES 6–11. TYPE SPECIMENS, LATERAL AND DORSAL VIEW. 6–7. Hermetia nana LINDNER, FEMALE SYNTYPE. 8–9. Merosargus flaviventris (LINDNER), MALE HOLOTYPE. 10–11. Ptecticus palpalis LEAL, MALE HOLOTYPE. SCALE BAR, 1 MM.
FIGURES 18–23 in An illustrated catalogue of the types of Stratiomyidae (Diptera: Brachycera) in the collection of Museu Nacional, Rio de Janeiro, Brazil
FIGURES 18–23. TYPE SPECIMENS, LATERAL AND DORSAL VIEW. 18–19. Nothomyia borgmeieri (LINDNER), MALE SYNTYPE. 20–21. Nothomyia fasciatipennis (LINDNER), MALE SYNTYPE. 22–23. Nothomyia lopesi (LINDNER), MALE SYNTYPE. SCALE BAR, 1 MM.
FIGURES 1–5 in An illustrated catalogue of the types of Stratiomyidae (Diptera: Brachycera) in the collection of Museu Nacional, Rio de Janeiro, Brazil
FIGURES 1–5. TYPE SPECIMENS, LATERAL AND DORSAL VIEW. 1–2. Macromeracis brasiliensis (LINDNER), FEMALE HOLOTYPE. 3–4. Barbiellinia illaetabilis PUJOL-LUZ & GODOI, MALE HOLOTYPE. 5. Abavus maculatus LINDNER, MALE HOLOTYPE. SCALE BAR, 1 MM.
FIGURES 12–17 in An illustrated catalogue of the types of Stratiomyidae (Diptera: Brachycera) in the collection of Museu Nacional, Rio de Janeiro, Brazil
FIGURES 12–17. TYPE SPECIMENS, LATERAL AND DORSAL VIEW. 12–13. Anopisthocrania zonata LINDNER, FEMALE SYNTYPE. 14–15. Chloromelas barbata LINDNER, MALE HOLOTYPE. 16–17. Glariopsis brasiliana LINDNER, MALE HOLOTYPE. SCALE BAR, 1 MM.
FIGURES 12–19. 12. Wallaceana foveicollis Gressitt, 1939 in Cassidinae (Coleoptera: Chrysomelidae) types deposited at Sun Yat-sen University, Guangzhou, China
FIGURES 12–19. 12. Wallaceana foveicollis Gressitt, 1939 (holotype, 4.3 mm); 13. Planispa castaneipennis Chûjô, 1937 (syntype, 8.4 mm); 14. Agonita picea Gressitt, 1953 (holotype, 5.4 mm); 15. A. sculpturata Gressitt, 1953 (holotype, 5.0 mm); 16. Downesia balyi Gressitt, 1950 (holotype, 5.7 mm); 17. D. kwangtunga Gressitt, 1950 (holotype, 4.5 mm); 18. Neodownesia rubra Gressitt, 1953 (holotype, 6.5 mm); 19. Chaeridiona cupreoviridis Gressitt, 1950 (holotype, 3.8 mm).
FIGURES 20–25. 20. Asamangulia longispina Gressitt, 1950 in Cassidinae (Coleoptera: Chrysomelidae) types deposited at Sun Yat-sen University, Guangzhou, China
FIGURES 20–25. 20. Asamangulia longispina Gressitt, 1950 (holotype, 2.5 mm); 21. Dactylispa cervicornis Gressitt, 1950 (holotype 5.0 mm); 22. D. kaulina Gressitt, 1950 (holotype, 5.5 mm); 23. D. mauliki Gressitt, 1950 (holotype, 4.1 mm); 24. D. paucispina Gressitt, 1939 (holotype, 3.7 mm); D. piceomaculata Gressitt, 1939 (holotype, 5.1 mm).
FIGURES 37–45 in Cassidinae (Coleoptera: Chrysomelidae) types deposited at Sun Yat-sen University, Guangzhou, China
FIGURES 37–45. Samples of labels used in the LMNH material. 37–38. Gressittʼs identification labels; 39. Gressittʼs type label used for most specimens; 40. type label used by Gressitt & Kimoto in 'Chrysomelidae of China'; 41–42. Chûjôʼs type label and original cotype label he used; 43. additional label in Chinese placed under several specimens refering to vernacular name of the genus Dactylispa; 44. database label with Data Matrix barcode; 45. additional identidication label with Chinese vernacular name (first row) added by Li-Zhong Hua (printed text in the last row).
FIGURES 4–11. 4. Cassida expansa Gressitt, 1952 in Cassidinae (Coleoptera: Chrysomelidae) types deposited at Sun Yat-sen University, Guangzhou, China
FIGURES 4–11. 4. Cassida expansa Gressitt, 1952 (holotype, 6.7 mm); 5. C. imitatrix Gressitt, 1952 (holotype, 4.8 mm); 6. C. juglans Gressitt, 1942 (holotype, 4.8 mm); 7. C. inflata Gressitt, 1952 (holotype, 7.0 mm); 8. C. laticollis Gressitt, 1952 (holotype, 6.0 mm); 9. C. spaethi Gressitt, 1942 (holotype, 6.9 mm); 10. Glyphocassis tetrasticta Gressitt, 1942 (holotype, 5.4 mm); 11. G. trilineata szechuana Gressitt, 1952 (holotype, 5.5 mm).
FIGURES 32–36. 32 in Cassidinae (Coleoptera: Chrysomelidae) types deposited at Sun Yat-sen University, Guangzhou, China
FIGURES 32–36. 32. Rhadinosa abnormis Gressitt & Kimoto, 1963 (holotype, 2.8 mm); 33. Rhadinosa tayana Gressitt, 1939 (holotype, 4.4 mm); 34. Notosacantha marginalis (Gressitt, 1942) (holotype, 4.8 mm); 35. N. oblongopunctata (Gressitt, 1938) (holotype, 4.2 mm); 36. N. sinica Gressitt, 1952 (holotype, 4.8 mm).
FIGURES 1–3. 1. Lasiochila insulana fukiena Gressitt, 1950 in Cassidinae (Coleoptera: Chrysomelidae) types deposited at Sun Yat-sen University, Guangzhou, China
FIGURES 1–3. 1. Lasiochila insulana fukiena Gressitt, 1950 (holotype, 14.0 mm); 2. Callispa angusta Gressitt, 1950 (non type, 4.5 mm); 3. C. fortuneii emarginata Gressitt, 1938 (paratype, 6.2 mm).
FIGURES 26–31. 26. Dactylispa planispina Gressitt, 1950 in Cassidinae (Coleoptera: Chrysomelidae) types deposited at Sun Yat-sen University, Guangzhou, China
FIGURES 26–31. 26. Dactylispa planispina Gressitt, 1950 (holotype, 7.1 mm); 27. D. setifera zeae Chen & Tʼan unpublished manuscript name (5.7 mm); 28. D. uhmanni Gressitt, 1950 (holotype, 4.0 mm); 29. Hispellinus chinensis Gressitt, 1950 (holotype, 4.5 mm); 30. Monohispa tuberculata (Gressitt, 1950) (holotype, 6.5 mm); 31. Platypria yunnana Gressitt, 1939 (holotype, 6.2 mm).
Imaging the atomic structure and local chemistry of platelets in natural type Ia diamond
<p>The upload contains raw data for the manuscript entitled "Imaging the atomic structure and local chemistry of platelets in natural type Ia diamond" accepted for publication in Nature Materials.</p>
SubComm Infographics - Different Types of Subtitles
<p>An infographic desribing different types of subtitles.</p>
Data for "RegulaTome: a corpus of typed, directed, and signed relations between biomedical entities in the scientific literature"
<div> <p><strong>RegulaTome corpus</strong>: this <a href="../api/records/10808330/files/RegulaTome-corpus.tar.gz/content" target="_blank" rel="noopener">file</a> contains the RegulaTome corpus in <a href="https://brat.nlplab.org/">BRAT</a> format. The directory <strong>"splits" </strong>has the corpus split based on the train/dev/test used for the training of the relation extraction system</p> <p><strong>RegulaTome annodoc</strong>: The annotation guidelines along with the annotation configuration files for BRAT are provided in <a href="../api/records/10808330/files/annodoc+config.tar.gz/content" target="_blank" rel="noopener">annodoc+config.tar.gz</a>. The online version of the annotation documentation can be found here: <a href="https://katnastou.github.io/s1000-corpus-annotation-guidelines/">https://katnastou.github.io/regulatome-annodoc/ </a></p> <p>The tagger software can be found here: <a href="https://github.com/larsjuhljensen/tagger">https://github.com/larsjuhljensen/tagger</a>. The command used to run tagger before large-scale execution of the RE system is:</p> <p><code>gzip -cd `ls -1 pmc/*.en.merged.filtered.tsv.gz` `ls -1r pubmed/*.tsv.gz` | cat dictionary/excluded_documents.txt - | tagger/tagcorpus --threads=16 --autodetect --types=dictionary/curated_types.tsv --entities=dictionary/all_entities.tsv --names=dictionary/all_names_textmining.tsv --groups=dictionary/all_groups.tsv --stopwords=dictionary/all_global.tsv --local-stopwords=dictionary/all_local.tsv --type-pairs=dictionary/all_type_pairs.tsv --out-matches=all_matches.tsv</code></p> <p><strong>Input documents </strong>for large-scale execution, which is done on entire <a href="https://a3s.fi/March-2024-PubMed/PubMed_20230314.tar.gz" target="_blank" rel="noopener">PubMed</a> (as of March 2024) and <a href="https://a3s.fi/Jan-2024-documents/PMC_Nov_23.tar.gz" target="_blank" rel="noopener">PMC Open Access</a> (as of November 2023) articles in BioC format. The files are converted to a <a href="https://a3s.fi/March-2024-PubMed/all_documents.tsv" target="_blank" rel="noopener">tab-delimited format </a>to be compatible with the RE system input (see below).</p> <p><strong>Input dictionary files</strong>: all the files necessary to execute the command above are available in <a href="../api/records/10808330/files/tagger_dictionary_files.tar.gz/content" target="_blank" rel="noopener">tagger_dictionary_files.tar.gz </a></p> <p><strong>Tagger output</strong>: we filter the results of the tagger run down to gene/protein hits, and documents with more than 1 hit (since we are doing relation extraction) before feeding it to our RE system. The filtered output is available in <a href="../api/records/10808330/files/tagger_matches_ggp_only_gt_1_hit.tsv.gz/content" target="_blank" rel="noopener">tagger_matches_ggp_only_gt_1_hit.tsv.gz</a></p> <p><strong>Relation extraction system input</strong>: <a href="../api/records/10808330/files/combined_input_for_re.tar.gz/content" target="_blank" rel="noopener">combined_input_for_re.tar.gz</a>: these are the directories with all the .ann and .txt files used as input for the large-scale execution of the relation extraction pipeline. The files are generated from the tagger tsv output (see above, <a href="../api/records/10808330/files/tagger_matches_ggp_only_gt_1_hit.tsv.gz/content" target="_blank" rel="noopener">tagger_matches_ggp_only_gt_1_hit.tsv.gz</a>) using the <a href="https://github.com/spyysalo/string-db-tools/blob/main/tagger2standoff.py">tagger2standoff.py</a> script from the <a href="https://github.com/spyysalo/string-db-tools/">string-db-tools</a> repository.</p> <p><strong>Relation extraction models</strong>. The Transformer-based model used for large-scale relation extraction and prediction on the test set is at <a href="../api/records/10808330/files/relation_extraction_multi-label-best_model.tar.gz/content" target="_blank" rel="noopener">relation_extraction_multi-label-best_model.tar.gz</a></p> <p>The pre-trained RoBERTa model on PubMed and PMC and MIMIC-III with a BPE Vocab learned from PubMed (RoBERTa-large-PM-M3-Voc), which is used by our system is available <a href="https://github.com/facebookresearch/bio-lm/blob/main/README.md">here</a>.</p> <p><strong>Relation extraction system output</strong>: the tab-delimited outputs of the relation extraction system are found at <a href="https://a3s.fi/regulatome-ls/large_scale_relation_extraction_results.tar.gz" target="_blank" rel="noopener">large_scale_relation_extraction_results.tar.gz </a><strong>!!!ATTENTION this file is approximately 1TB in size, so make sure you have enough space to download it on your machine!!!</strong></p> <p>The relation extraction system output files have 86 columns: PMID, Entity BRAT ID1, Entity BRAT ID2, and scores per class produced by the relation extraction model. Each file has a header to denote which score is in which column.</p> </div>
FIGURE 1. A. Colours of Paraputo blackmani Joshi sp. n. adult females preserved in 70% ethanol; B. Type slide, with holotype specimen ringed in blue (indicated by a red arrow). in --A--new--species--of--Paraputo--Laing--1929--(Hemiptera:--Coccomorpha:-- Pseudococcidae)--from--India
FIGURE 1. A. Colours of Paraputo blackmani Joshi sp. n. adult females preserved in 70% ethanol; B. Type slide, with holotype specimen ringed in blue (indicated by a red arrow).
Plesiobaeus hospes Kieffer, holotype female, B.M. TYPE HYM. 9.752
<p><em>Plesiobaeus hospes</em> Kieffer</p> <p>holotype female</p> <p>B.M. TYPE HYM. 9.752 </p>
Telenomus divisus Wollaston, syntype female, B.M. TYPE HYM. 9.420,
<p><em>Telenomus divisus</em> Wollaston</p> <p>syntype female</p> <p>B.M. TYPE HYM. 9.420, </p>
Telenomus divisus Wollaston, B.M. TYPE HYM. 9.254, syntype female
<p><em>Telenomus divisus</em> Wollaston</p> <p>syntype female</p> <p>B.M. TYPE HYM. 9.254</p>
Evaluating the impact of design decisions on passive DNS-based domain rankings: ranking files (type: fqdn, weighting: IDENTITY, days: 1, dates: 15 November 2023-05 December 2023)
See <a href="https://domain-ranking-design-decisions.distrinet-research.be/">https://domain-ranking-design-decisions.distrinet-research.be/</a> for a full project description.
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.