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Figure 1 in Noyesaphytis (Chalcidoidea: Aphelinidae) - an unusual new genus from Madagascar, and a reassessment of Aphelininae classification based on morphology
Figure 1. Noyesaphytis lasallei holotype female; 1. Dorsal habitus, critical-point-dried, card-mount.
Dataset for Repeated double cross validation applied to the PCA-LDA classification of SERS spectra: a case study with serum samples from hepatocellular carcinoma patients
<p>This dataset contains all the spectra used in the paper "Repeated double cross validation applied to the PCA-LDA classification of SERS spectra: a case study with serum samples from hepatocellular carcinoma patients", plus the R code to import the TXT (ASCII) files into a dataset, preprocess data, set-up and cross validate the PCA-LDA model and generate the figures shown in the paper.</p> <p>Data are available in 2 different formats: </p> <p>- 1 compressed archive ("dataset.zip") containing all the 144 TXT files (1 file = 1 spectrum) </p> <p>- 1 single CSV file (“dataset.csv”) with all the 144 spectra in the form of a table. The data are structured as follow, with each row being 1 spectrum, preceded by metadata: "acquisition_date", "substrate_batch", "class", "sample_code".</p> <p>The code for R is available as a single file "Rcode.R".</p> <p> </p>
An updated generic classification of Cenozoic pleurotomariid gastropods, with new records from the Oligocene and Early Miocene of India
<p>Although taxonomically distinct, the Cenozoic pleurotomariids are the bottlenecked remnants of the Mesozoic members of the family in terms of morphology, with only conical forms surviving the end-Cretaceous mass extinction. Here, we propose an updated classification scheme for the Cenozoic representatives of this group, based on data from the entire Cenozoic pleurotomariid fossil record. We consider all conventional as well as several new characters so that this scheme can readily help to distinguish Cenozoic pleurotomariid genera. Following the new classification scheme, a revision of the generic status of Cenozoic species previously assigned to '<i>Pleurotomaria</i>' Defrance, 1826 is presented. Only a few Cenozoic pleurotomariid gastropods have been reported from the Indian subcontinent. Here we report four species from the Oligocene of the Kutch Basin and the Early Miocene (Burdigalian) of the Dwarka Basin of Gujarat, western India, of which two are described as new: <i>Perotrochus bermotiensis</i> n. sp. in the genus <i>Perotrochus</i> Fischer, 1885, and <i>Entemnotrochus kathiawarensis</i> n. sp., <em>Entemnotrochus </em>cf. <i>bianconii</i>, and <i>Entemnotrochus</i>? sp. 1 in the genus <i>Entemnotrochus</i> Fischer, 1885.</p>
Data set of the article: Using Machine Learning for Web Page Classification in Search Engine Optimization
<p>Data of investigation published in the article: "Using Machine Learning for Web Page Classification in Search Engine Optimization"</p> <p>Abstract of the article:</p> <p>This paper presents a novel approach of using machine learning algorithms based on experts’ knowledge to classify web pages into three predefined classes according to the degree of content adjustment to the search engine optimization (SEO) recommendations. In this study, classifiers were built and trained to classify an unknown sample (web page) into one of the three predefined classes and to identify important factors that affect the degree of page adjustment. The data in the training set are manually labeled by domain experts. The experimental results show that machine learning can be used for predicting the degree of adjustment of web pages to the SEO recommendations—classifier accuracy ranges from 54.59% to 69.67%, which is higher than the baseline accuracy of classification of samples in the majority class (48.83%). Practical significance of the proposed approach is in providing the core for building software agents and expert systems to automatically detect web pages, or parts of web pages, that need improvement to comply with the SEO guidelines and, therefore, potentially gain higher rankings by search engines. Also, the results of this study contribute to the field of detecting optimal values of ranking factors that search engines use to rank web pages. Experiments in this paper suggest that important factors to be taken into consideration when preparing a web page are page title, meta description, H1 tag (heading), and body text—which is aligned with the findings of previous research. Another result of this research is a new data set of manually labeled web pages that can be used in further research. </p>
Automatic plankton image classification - can capsules and filters help coping with data set shift?
<p>This data set is related to the article 'Automatic plankton image classification - can capsules and filters help coping with data set shift?' published in 'Limnology and Oceanography: Methods' by Plonus <em>et al.</em> (2021).</p> <p>The images belong to the trainings set used to train the models in the aforementioned paper (training_) and three different additional data sets which were used to evaluate the performance of the trained models in application mode (fs446_; fs466_; fs534_). The Python-Script 'separate_files.py' can be used to move all the images in different folders for each data set and class respectively.</p>
Author Classifications of O*NET Individual Work Activities (IWA)
<p>Author Classifications of O*NET Individual Work Activities (IWA) used in "Innovations and Economic Output Scale with Social Interactions in the Workforce"</p>
Figure 13. Neoterebra guadeloupensis n in Phylogenetic classification of the family Terebridae (Neogastropoda: Conoidea)
Figure 13. Neoterebra guadeloupensis n. sp., Maculauger sudchinensis n. sp. and morphologically similar species. A. N. guadeloupensis n. sp. holotype, MNHN-2013- 61448, KARUBENTHOS 2015 Stn DW4638, 15°50'N, 61° 18'W, 305–312 m, 17.2 mm. B. MNHN-IM-2013-20531, KARUBENTHOS 2012 Stn GD55, 16° 22.48'N, 61° 35.46'W, 85 m, 9.4 mm. C. Terebra limatula syntype, USNM93971, Apalachicola Bay, FL, 17.8 mm. D, E. M. sudchinensis n. sp., holotype, MNHN-IM-2013-61887, ZhongSha 2015 Stn CP4144, 16°6'N, 114° 23'E, 160–200 m, 19.9 mm. F. Terebra helichrysum lectotype, NHMUK 1903.12.15.117, Mussandam, Persian Gulf, 47 fms (= 86 m), 24.5 mm. G. Terebra levantina holotype, MNHN-IM-2000-2812, MUSORSTOM 2 Stn CP59, 14°00'N, 120°16'E, 186–190 m, 24.2 mm.
Figure 10 in Phylogenetic classification of the family Terebridae (Neogastropoda: Conoidea)
Figure 10. Genera defined solely by shell morphology. A. Terebra bathyrhaphe lectotype, NHMUK 1873.8.6.10/1, Gulf of Yedo, 35° 35'N, 139°48'E, 6–25 fms (= 11–46 m), 24.8 mm. B. Hastulopsis melanachme lectotype, NMHUK 1873.8.6.11/1, Cape Sima, Japan, 18 fms (= 33 m), 17.8 mm. C. Terebra bifrons holotype, NHMUK 1968237, Japan, 51.0 mm. D. Gradaterebra scalariformis, SAM D-110176, Newland Head, S Australia, 20 fms (= 37 m), 12.1 mm. E. Terebra circumcincta holotype, NHMUK 1978150, Red Sea (erroneous?), 38.0 mm. F. Microtrypetes iola holotype, ANSP 155289, Mazatlan, Mexico, 20 fms (= 37 m), 14.0 mm.
Figure 11. Duplicaria herberti n in Phylogenetic classification of the family Terebridae (Neogastropoda: Conoidea)
Figure 11. Duplicaria herberti n. sp., Partecosta bozzettii n. sp. and morphologically similar species. A. D. herberti, holotype, MNHN-IM-2013-52381, INHACA 2011 Stn MR15, 26° 00.0'S, 32° 54.4'E, 0–1 m, 29.7 mm. B. D. herberti, MNHN-IM-2013-52366, INHACA 2011 Stn MM1, 26° 02.3'S, 32° 54.1'E, 0–1 m, 12.4 mm. C. D. herberti (paratype of D. mozambiquensis), NMSA 566, 27 mm. D. D. mozambiquensis, YT, Quelimane Pebane, Mozambique, 35–45 m, 19.6 mm. E. Partecosta bozzettii holotype, MNHN-IM-2009-10163, ATIMO VATAE Stn TP29, 25° 03' 43.9''S, 46°57'42.9''E, 3–4 m, 12.5 mm. F. Partecosta trilineata holotype, MNHN-IM-2000-21473, S Madagascar, Lavanono, 8.85 mm. G. P. daniae holotype, MMM, Farol das Lagostas, Luanda, Angola, 12 mm.
Figure 8. Genus Punctoterebra. A. P in Phylogenetic classification of the family Terebridae (Neogastropoda: Conoidea)
Figure 8. Genus Punctoterebra. A. P. nitida, MNHN-IM-2013-13332, PAPUA NIUGINIStn PD32, 05° 04.4'S, 145° 48.7'E, 1–8 m, 26.5 mm. B. P. teramachii, MNHN-IM-2009-9973, TERRASSES Stn DW3093, 22°06'S, 167°03'E, 190–200 m, 27.5 mm. C. P. polygyrata, MNHN-IM-2007-30424, SALOMON 2 Stn CP2282, 08° 37'S, 157°21'E, 150–160 m, 22.3 mm. D. P. succincta, MNHN-IM-2007-30385, SANTO 2006 Stn VM32, 15°26.6'S, 167°15.2'E, 0–1 m, 42.9 mm. E. P. solangeae, MNHN-IM-2009-10122, ATIMO VATAE Stn BP18, 25° 26.1–26.4'S, 44° 55.2–55.6'E, 17–20 m, 10.2 mm. F. P. sp. aff. textilis, MNHN-IM-2009-10093, MIRIKYStn CP3274, 15°30.15'S, 46°04.3'E, 29–36 m, 16.8 mm. G. P. souleyeti radula, MNHN-IM-2007-30547, SANTO 2006 Stn LD21, 15° 31.3'S, 167° 09.9'E, 1–6 m, 27 mm.
Figure 7. Genera Myurella, Maculauger n. gen. and Myurellopsis n. gen. A in Phylogenetic classification of the family Terebridae (Neogastropoda: Conoidea)
Figure 7. Genera Myurella, Maculauger n. gen. and Myurellopsis n. gen. A. Myurella affinis, MNHN-IM-2013-17860, PAPUA NIUGINIStn PR196, 05°12.3'S, 145° 48.8'E, 0 m, 39.8 mm. B. Myurella fortunei, MNHN-IM-2013-58677, KAVIENG 2014 Stn DW4468, 02°45'S, 150°37'E, 190–472 m, 25.2 mm. C. Myurella amoena, MNHN-IM-2013-46861, KAVIENG 2014 Stn KR02, 02°37.5'S, 150°46.5'E, 10–14 m, 24.9 mm. D. Myurella pygmaea, MNHN-IM-2009- 10121, off Lovanono, SMadagascar, 0–5 m, 6.1 mm. E. Maculauger pseudopertusa, MNHN-IM-2009-9954, MIRIKYStn DW3230, 13°25'S, 47°57'E, 71–158 m, 42.9 mm. F. Maculauger campbelli, MNHN-IM-2013-52252, EXBODI Stn CP3836, 22° 08'S, 167°11'E, 415–420 m, 20.5 mm. G. Myurellopsis undulata, MNHN-IM-2013-10252 PAPUA NIUGINI Stn PR07, 05°12.5'S, 145°48.5'E, 2–17 m, 31.9 mm. H. Myurellopsis kilburni, MNHN-IM-2013-12712, PAPUA NIUGINI Stn PS11, 05°04.7'S, 145° 48.9'E, 0–5 m, 24.8 mm. I. Myurellopsis joserosadoi, MNHN-IM-2013-52369, INHACA 2011 Stn MR13, 25°59.7'S, 32°54.5'E, 2–5 m, 17.9 mm.
Figure 6. Genera Hastula and Oxymeris. A. H in Phylogenetic classification of the family Terebridae (Neogastropoda: Conoidea)
Figure 6. Genera Hastula and Oxymeris. A. H. strigilata, MNHN-IM-2013-16102, PAPUA NIUGINI Stn PM41, 05° 08.1'S, 145° 49.3'E, 0–1 m, 32.4 mm. B. H. solida, MNHN-IM-2009-07098, Inhaca I., Mozambique, 25° 59.0'S, 32°54.5'E, 0 m, 25.6 mm. C. H. hectica, MNHN-IM-2009-11870, Tahiti, 17°30' 28.28''S, 149°27' 0.14''W, 0 m, 35.6 mm. D. H. cinerea, MNHN-IM-2013-9455, KARUBENTHOS 2012 Stn GM19, 16°21.3'N, 61°44.92'W, 0–1 m, 20.4 mm. E. H. lanceata radula, MNHN IM-2007-30535, PANGLAO 2004 Stn B1, 9°33.0'N, 123°46.50'E, 8–14 m, 32.5 mm (broken). F. H. hectica radula" Panglao I., Bohol" Philippines, intertidal. G. O. maculata, MNHN-IM-2013-40074, Marquesas Is, 113 mm. H. O. crenulata, MNHN-IM-2013-46877, KAVIENG 2014 Stn KR06, 02°36.3'S, 150° 46.2'E, 3–12 m, 85.9 mm. I. O. felina, MNHN-IM-2013-10283, PAPUA NIUGINI Stn PB05, 05°11.7'S, 145° 49.4'E, 0–20 m, 31 mm.
Figure 5. Genus Terebra. A. T in Phylogenetic classification of the family Terebridae (Neogastropoda: Conoidea)
Figure 5. Genus Terebra. A. T. subulata (Subclade C1), MNHN-IM-2013-47287, KAVIENG 2014 Stn KR12, 02° 36.3'S, 150°46.3'E, 0 m, 62.8 mm. B. T. guttata (Subclade C1) radula, MNHN-IM-2007-30376, SANTO 2006 Stn FR08, 15° 33,1'S, 167°12.2'E, 3–40 m, 74.6 mm. C. T. aff. fenestrata (Subclade C2), MNHN-IM-2013-46010, MADEEP Stn CP4330, 06° 07.63'S, 149°12.1'E, 315–625 m, 43.5 mm. D. T. aff. fenestrata 2 (Subclade C2) radula, MNHN- IM-2007-30418, PANGLAO 2005 Stn CP2331, 09°39'N, 123°48'E, 256–268 m, 23.1 mm. E. T. fujitai (Subclade C3-1), MNHN-IM-2007-15724, PANGLAO 2005 Stn CP2343, 09° 27'N, 123° 49'E, 273–356 m, 95.7 mm. F. T. triseriata (Subclade C4), MNHN-IM-2013-51211, KAVIENG 2014 Stn KD13, 02° 44.6'S, 150°43.1'E, 0–15 m, 25.6 mm. G. T. argus (Subclade C5), MNHN-IM-2013-46900, KAVIENG 2014 Stn KR06, 02°36.3'S, 150° 46.2'E, 3–12 m, 53.7 mm. H. T. babylonia (Subclade C6), MNHN-IM-2013-51267, KAVIENG 2014 Stn KR54, 02° 42.3'S, 150° 39.1'E, 7–10 m, 38.5 mm. I. T. sp. aff. cumingii (Subclade C7), MNHN-IM-2013-46237, MADEEP Stn CP4335, 06°05'S, 149° 18'E, 240–250 m, 62.5 mm. J. T. cingulifera (Subclade C7) radula, MNHN-IM-2007-30382, SANTO 2006 Stn VM32, 15° 26.6'S, 167° 15.2'E, 0–1 m, 49.7 mm.
Figure 9. Genera Profunditerebra n. gen. and Neoterebra n. gen. A. P. papuaprofundi n in Phylogenetic classification of the family Terebridae (Neogastropoda: Conoidea)
Figure 9. Genera Profunditerebra n. gen. and Neoterebra n. gen. A. P. papuaprofundi n. sp., MNHN-IM-2013-58123, KAVIENG 2014 Stn CP4422, 02°21'S, 150° 38'E, 496–609 m, 19.2 mm. B. P. orientalis, MNHN-IM-2009-29153, EXBODI Stn DW3930, 18° 37'S, 164°26'E, 448–464 m, 39.6 mm. C. P. brazieri, MNHN-IM-2013-55861, MORRISON AUSTRALIA Stn TA22, 43° 10.4'S, 147° 51.3'E, 1–7 m, 32.4 mm. D. Terebra specillata lectotype, NHMUK 1844.6.7.84, San Blas, Mexico, 7 fms (= 12.8 m), 39.3 mm. E. P. poppei radula, MNHN-IM-2007-30546, SANTO 2006, Stn AT44, 15°36'S, 167° 03'E, 86–118 m, broken. F. Terebra assu holotype, MNHN-IM-2000-25244, off Conceição da Barra, Espírito Santo, Brazil MD55, Stn DC75, 18°59'S, 37°50'W, 295 m, 9.8 mm. G. Terebra alagoensis holotype, MZSP 84238, continental slope off Alagoas, Brazil, 10° 05' 57''S, 35°46' 24''W, 720 m, 9.8 mm. H. Neoterebra sterigmoides, MNHN-IM-2013-20352, KARUBENTHOS 2012 Stn GD02, 16° 22.57'N, 61° 34.12'W, 0–80 m, 29.6 mm.
Figure 3. Subfamily Pervicaciinae A in Phylogenetic classification of the family Terebridae (Neogastropoda: Conoidea)
Figure 3. Subfamily Pervicaciinae A. Duplicaria duplicata, MNHN-IM-2009-29454, WESTERN AUSTRALIA 2011 Stn WB32, 33° 33'S, 115° 04'E, 5–15 m, 26.7 mm. B. Duplicaria tricincta, MNHN-IM-2013-5638, PAPUA NIUGINI Stn PD67, 05° 15.5'S, 145°46.8'E, 2–6 m, 6.9 mm. C. Duplicaria tristis lectotype, NHMUK 1979115, 'Seas of Japan', 17.7 mm. D. Duplicaria brevicula, MNHN-IM-2013-66140, off Namibe, S Angola, 40–60 m, 12.9 mm. E. Duplicaria bernardi radula, MNHN-IM-2009-10908, Australia, 26°56' 607''S; 153°23' 813''E, shell broken. F. Terebra fuscobasis lectotype, NHMUK 1873.7.5.8/1, Persian Gulf, 11.3 mm. G. Terebra nassoides lectotype, NHMUK 1968251/1, Red Sea, 13.5 mm. H. Partecosta varia, MNHN-IM-2013-52342, ATIMO VATAE Stn TM27, 24°56.4'S, 47° 06.9'E, 0–1 m, 10.4 mm. I. Partecosta sandrinae, MNHN-IM-2013-52359, INHACA 2011 Stn MM7 PL5, 26°03.7'S, 32°54.1'E, 0–1 m, 8.8 mm. J. Partecosta n. sp. aff fuscolutea radula, MNHN-IM-2009-10133, ATIMO VATAE Stn BS06, 25°26.8'S, 44° 54.9'E, 0–27 m, 6.9 mm. K. Partecosta bozzettii n. sp. paratype, MNHN-IM-2009-10162, ATIMO VATAE Stn TP29, 25° 03.7–03.8'S, 46° 57.7'E, 3–4 m, 12.4 mm. L. Partecosta trilineata, MNHN-IM-2009-10164, ATIMO VATAE Stn TP24, 25° 03.7–03.8'S, 46°57.6–57.7'E, 2–7 m, 8.2 mm. M. Partecosta macleani, MNHN-IM-2009-10115 ATIMO VATAE Stn TP19, 25°04.4–04.7'S, 46°55.3–56.3'E, 16–26 m, 8.9 mm. N, O. Partecosta macleani radula, MNHN-IM- 2009-10111, ATIMO VATAE Stn TP19, 25° 04.4–04.7'S, 46°55.3–56.3'E, 16–26 m, 12 mm.
Figure 4 in Phylogenetic classification of the family Terebridae (Neogastropoda: Conoidea)
Figure 4. Phylogenetic relationships of the subclades of the genus Terebra. Schematic of subclades C1–C7 in the genus Terebra; see Supplementary Material Fig. S1 forspecies composition (after Modica et al., 2019).
Figure 12. Profunditerebra papuaprofundi n in Phylogenetic classification of the family Terebridae (Neogastropoda: Conoidea)
Figure 12. Profunditerebra papuaprofundi n. sp., P. macclesfieldensis n. sp. and morphologically similar species. A. P. papuaprofundi holotype, MNHN-IM-2013- 58123, KAVIENG 2014 Stn CP4422, 02° 21'S, 150° 38'E, 496–609 m, 19.0 mm. B. P. papuaprofundi paratype 1, MNHN-IM-2013-45571, same locality, 29.5 mm. C. Terebra cinctella lectotype, NHMUK 197988/1, 'Mouth of the Indus', 27.8 mm. D. Terebra textilis lectotype, NHMUK 1844.6.7.80, 'Str Macassar', 25.7 mm. E. P. macclesfieldensis holotype, MNHN-IM-2013-61875, ZhongSha 2015 Stn DW4144, 16°6'N, 114° 23'E, 160–200 m, 22.4 mm. F. P. macclesfieldensis paratype 1, MNHN-IM-2013-61877, same locality, 22.2 mm. G. P. anseeuwi holotype, MNHN-IM-2000-6224, Aliguay I., Philippines, 80–150 m, 29.8 mm.
Figure 1 in Phylogenetic classification of the family Terebridae (Neogastropoda: Conoidea)
Figure 1. Phylogenetic relationships of the main lineages of Terebridae. Genera are numbered 1–13 in the tree and a shell of the type species of each genus is depicted to the left; see Supplementary Material Fig. S1 for species composition (after Modica et al., 2019).
Figure 2. Subfamily Pellifroniinae. A–C. Pellifronia jungi. A in Phylogenetic classification of the family Terebridae (Neogastropoda: Conoidea)
Figure 2. Subfamily Pellifroniinae. A–C. Pellifronia jungi. A. MNHN-IM-2013-52275, NANHAI 2014 Stn DW4102, 15°03'N, 116°31'E, 339–533 m, 25.5 mm. B. MNHN-IM-2013-52249, EXBODI Stn CP3831, 22° 02'S, 167°09'E, 523–560 m, 24 mm. C. MNHN-IM-2007-30591, SALOMON 2 Stn CP2195, 08° 26'S, 159° 26'E, 543–593 m, 29 mm (broken), D. Pellifronia brianhayesi holotype, MNHN-IM-2000-20800, S Mozambique, 22.6 mm. E–G. Bathyterebra benthalis. E. MNHN-IM-2013-60185, KARUBENTHOS 2015 Stn CP4524, 16°29'N, 61°42'W, 500–550 m, 35.5 mm. F, G. MNHN-IM- 2013-61124, KARUBENTHOS 2015 Stn DW4608, 9.3 mm. H. Bathyterebra zhongshaensis n. sp. holotype, MNHN-IM-2013-61800, ZhongSha 2015 Stn DW4138, 19° 13'N, 113°56'E, 470–494 m, 17 mm. I. Bathyterebra coriolisi, MNHN-IM-2013-52331, CONCALIS Stn DW3001 18°32'S, 163° 09'E, 390–400 m, 12.4 mm.
LabelGit: A dataset for software repositories classification using attributed dependency graphs
<p>A dataset for software repositories classification using attributed dependency graphs</p>
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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.