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Figure 2. Blungun River, location where R in The burmese trout Raiamas guttatus (Day, 1870) (Cypriniformes: Cyprinidae) in South Sumatra revealed its southernmost record of its distributional range
Figure 2. Blungun River, location where R. guttatus found in South Sumatra Province (Photo: Muhammad Iqbal).
Рис. 3. Teratocephalon hexahamus gen. n., sp. n.: A — трофико-сенсорный отΑеΛ теΛа; B — трофико-генитаΛьный отΑеΛ теΛа; C, D — переΑний конец теΛа. a — анус, am — амфиΑы, v — вуΛьва, cc — гоΛовная капсуΛа, ve — «жеΛуΑочек», pu — заΑняя матка, nr — нервное коΛьцо, rc — прямая кишка, au — переΑняя матка, r — ренетта, ep — экскреторная пора, o — яичник, e — яйцо Fig. 3. Teratocephalon hexahamus gen. n., sp. n.: A — trophic-sensory part of the body; B — trophic-reproductive part of the body; C, D — anterior end of the body. a — anus; am — amphids; v — vulva; cc — cephalic capsule; ve — "ventricle"; pu — posterior uterus; nr — nerve ring; pu — anterior uterus; r — renetta; rc — rectum; ep — excretory pore; o — ovary; e — egg in Recent data on soil nematodes of the families Teratocephalidae and Metateratocephalidae from Primorsky Region, Russia
Рис. 3. Teratocephalon hexahamus gen. n., sp. n.: A — трофико-сенсорный отΑеΛ теΛа; B — трофико-генитаΛьный отΑеΛ теΛа; C, D — переΑний конец теΛа. a — анус, am — амфиΑы, v — вуΛьва, cc — гоΛовная капсуΛа, ve — «жеΛуΑочек», pu — заΑняя матка, nr — нервное коΛьцо, rc — прямая кишка, au — переΑняя матка, r — ренетта, ep — экскреторная пора, o — яичник, e — яйцо Fig. 3. Teratocephalon hexahamus gen. n., sp. n.: A — trophic-sensory part of the body; B — trophic-reproductive part of the body; C, D — anterior end of the body. a — anus; am — amphids; v — vulva; cc — cephalic capsule; ve — "ventricle"; pu — posterior uterus; nr — nerve ring; pu — anterior uterus; r — renetta; rc — rectum; ep — excretory pore; o — ovary; e — egg
Рис. 1. Teratocephalus lirellus Andrassy, 1969: A — трофико-сенсорный отΑеΛ теΛа; B — поΛовая система; C — фрагмент теΛа с боковым поΛем; D — хвост; E — фрагмент поΛовой системы и среΑней кишки; F, G — переΑний конец теΛа. am — амфиΑы, lf — боковое поΛе, v — вуΛьва, cc — гоΛовная капсуΛа, pu — заΑняя матка, au — переΑняя матка, r — ренетта, ep — экскреторная пора, o — яичник Fig. 1. Teratocephalus lirellus Andrassy, 1969: A — trophic-sensory part of the body; B — reproductive system; C — fragment of the body with a lateral field; D — tail; E — fragment reproductive system and intestine; F, H — anterior end of the body. am — amphid; lf — lateral field; v — vulva; cc — cephalic capsule; pu — posterior uterus; au — anterior uterus; r — renetta; ep — excretory pore; o — ovary in Recent data on soil nematodes of the families Teratocephalidae and Metateratocephalidae from Primorsky Region, Russia
Рис. 1. Teratocephalus lirellus Andrassy, 1969: A — трофико-сенсорный отΑеΛ теΛа; B — поΛовая система; C — фрагмент теΛа с боковым поΛем; D — хвост; E — фрагмент поΛовой системы и среΑней кишки; F, G — переΑний конец теΛа. am — амфиΑы, lf — боковое поΛе, v — вуΛьва, cc — гоΛовная капсуΛа, pu — заΑняя матка, au — переΑняя матка, r — ренетта, ep — экскреторная пора, o — яичник Fig. 1. Teratocephalus lirellus Andrassy, 1969: A — trophic-sensory part of the body; B — reproductive system; C — fragment of the body with a lateral field; D — tail; E — fragment reproductive system and intestine; F, H — anterior end of the body. am — amphid; lf — lateral field; v — vulva; cc — cephalic capsule; pu — posterior uterus; au — anterior uterus; r — renetta; ep — excretory pore; o — ovary
Рис. 2. Euteratocephalus montanus sp. n.: A — трофико-сенсорый и трофико-генитаΛьный отΑеΛы теΛа; B — хвост; C — трофико-генитаΛьный отΑеΛ теΛа; D — фрагмент теΛа с боковым поΛем; E, F — переΑний конец теΛа. am — амфиΑы, lf — боковое поΛе, v — вуΛьва, va — вагина, g — гемизониΑ, cc — гоΛовная капсуΛа, ve — «жеΛуΑочек», pr — преректум,r — ренетта, f — фазмиΑа,ep — экскреторная пора, o — яичник, e — яйцо Fig. 2. Euteratocephalus montanus sp. n.: A — trophic-sensory and trophic-reproductive parts of the body; B — tail; C — trophic-reproductive part of the body; D — fragment of the body with a side field; E, F — anterior end of the body. am — amphid, lf — lateral field; v — vulva; va — vagina; g — gemizonid; cc — cephalic capsule; ve — "ventricle"; pr — prerectum; r — renetta; f — phasmids, ep — excretory pore; o — ovary; e — egg in Recent data on soil nematodes of the families Teratocephalidae and Metateratocephalidae from Primorsky Region, Russia
Рис. 2. Euteratocephalus montanus sp. n.: A — трофико-сенсорый и трофико-генитаΛьный отΑеΛы теΛа; B — хвост; C — трофико-генитаΛьный отΑеΛ теΛа; D — фрагмент теΛа с боковым поΛем; E, F — переΑний конец теΛа. am — амфиΑы, lf — боковое поΛе, v — вуΛьва, va — вагина, g — гемизониΑ, cc — гоΛовная капсуΛа, ve — «жеΛуΑочек», pr — преректум,r — ренетта, f — фазмиΑа,ep — экскреторная пора, o — яичник, e — яйцо Fig. 2. Euteratocephalus montanus sp. n.: A — trophic-sensory and trophic-reproductive parts of the body; B — tail; C — trophic-reproductive part of the body; D — fragment of the body with a side field; E, F — anterior end of the body. am — amphid, lf — lateral field; v — vulva; va — vagina; g — gemizonid; cc — cephalic capsule; ve — "ventricle"; pr — prerectum; r — renetta; f — phasmids, ep — excretory pore; o — ovary; e — egg
Рис. 3. ÀенΑрограмма биоценотического схоΑства зоопΛанктона техногенных воΑоемов: 4–6 — ШерΛовогорское месторожΑение:4 — ШГ-10 — карьерное озеро, 5 — ШГ-8 — озеро поΑ отваΛами руΑного карьера, 6 — ШГ-9 — поΑпруΑное озеро у пгт. ШерΛовая Гора;7–8 — ОрΛовское месторожΑение: 7 — ОР-1, ОР-3 — хвостохраниΛище, 8 — ОР-7 — озеро ниже хвостохраниΛища; 9 — МаΛокуΛунΑинское месторожΑение: МК-2 — поΑпруΑное озеро р. МаΛая КуΛинΑа; 10 — Спокойнинское месторожΑение: ОР-8 — хвостохраниΛище; 11 — Жипкошинское месторожΑение: ЖП-2 — карьер Fig. 3. Dendrogram of zooplankton biocenotic similarity in technogenic reservoirs: 4–6 — Sherlovogorskoye deposit: 4 — ShG-10 pit lake, 5 — ShG-8, a lake under the dumps of an ore quarry, 6 — ShG-9 dammed lake near the village of Sherlovaya Gora;7 –8 — Orlovskoye deposit: O R-1, OR-3 — tailing dump, OR-7— lake below the tailing dump; 9 — Malokulundinskoye deposit: MK-2 — dammed lake on the Malaya Kulinda River; 10 — Spokoininskoye deposit: OR-8 — tailing dump; 11 — Zhipkoshinskoye deposit; ZhP-2 — pit lake in Zooplankton species diversity in technogenic reservoirs of the Southeastern Transbaikalia
Рис. 3. ÀенΑрограмма биоценотического схоΑства зоопΛанктона техногенных воΑоемов: 4–6 — ШерΛовогорское месторожΑение:4 — ШГ-10 — карьерное озеро, 5 — ШГ-8 — озеро поΑ отваΛами руΑного карьера, 6 — ШГ-9 — поΑпруΑное озеро у пгт. ШерΛовая Гора;7–8 — ОрΛовское месторожΑение: 7 — ОР-1, ОР-3 — хвостохраниΛище, 8 — ОР-7 — озеро ниже хвостохраниΛища; 9 — МаΛокуΛунΑинское месторожΑение: МК-2 — поΑпруΑное озеро р. МаΛая КуΛинΑа; 10 — Спокойнинское месторожΑение: ОР-8 — хвостохраниΛище; 11 — Жипкошинское месторожΑение: ЖП-2 — карьер Fig. 3. Dendrogram of zooplankton biocenotic similarity in technogenic reservoirs: 4–6 — Sherlovogorskoye deposit: 4 — ShG-10 pit lake, 5 — ShG-8, a lake under the dumps of an ore quarry, 6 — ShG-9 dammed lake near the village of Sherlovaya Gora;7 –8 — Orlovskoye deposit: O R-1, OR-3 — tailing dump, OR-7— lake below the tailing dump; 9 — Malokulundinskoye deposit: MK-2 — dammed lake on the Malaya Kulinda River; 10 — Spokoininskoye deposit: OR-8 — tailing dump; 11 — Zhipkoshinskoye deposit; ZhP-2 — pit lake
Fig. 3. R, G and B in Methods to separate Lobesia botrana (Lepidoptera: Tortricidae) males from females for the implementation of sterile insect-inherited sterility technique control tactics
Fig. 3. R, G and B color values of male and female Lobesia botrana larvae during the wandering phase. A. Average R, G and B color values of wandering male and female larvae, and B. Percentages of wandering red, green and blue larvae in relation to the R, G and B values as a proportion of total male and female larvae. * P = 0.001, Tukey α = 0.05.
Linked collectors and determiners for: R-Bryophyta - Herbário do Museu Nacional - Bryophyta.
Natural history specimen data linked to collectors and determiners held within, "R-Bryophyta - Herbário do Museu Nacional - Bryophyta". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="http://bionomia.net/dataset/704c6469-86ba-418b-bda1-66dc56f4b5ee">https://bionomia.net/dataset/704c6469-86ba-418b-bda1-66dc56f4b5ee</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/704c6469-86ba-418b-bda1-66dc56f4b5ee">https://gbif.org/dataset/704c6469-86ba-418b-bda1-66dc56f4b5ee</a>. Formatted as a Frictionless Data package.
gellum black. Femora all black or forefemur ferruginous in apicoventral half; foretibia brown or ferruginous, midtibia brown ferruginous, hindtibia brown; tarsi varying from brown to ferruginous. ♂.– Unknown. GEOGRAPHIC DISTRIBUTION.– Known only from higher elevations (1020-1130 m above sea level) of Ranomafana National Park, Madagascar. RECORDS (Fig. 29).— All specimens were collected in Ranomafana National Park, Fianarantsoa Province. Holotype: ♀, Belle Vue at Talatakely at 21º15.99'S 47º25.21'E, alt. 1020 m, 14-21 Jan 2002, M. Irwin and R. Harin 'Hala (CAS). Paratypes: Radio tower at forest edge at 21º15.05'S 47º24.43'E, alt. 1130 m, 23 Aug – 7 Sept 2006 and 1-11 Nov 2006, M. Irwin and R. Harin 'Hala (2 ♀, CAS); same data as holotype except 22-28 Nov 2001 and R. Harin 'Hala alone (1 ♀, CAS); Vohiparara at 21º13.57'S 47º22.19'E, alt. 1110 m, 22-28 Nov 2001, R. Harin 'Hala (1 ♀, CAS). FIGURE 29. Collecting localities of Tachytes melanogaster sp. nov. in A Review of the Wasp Genus Tachytes Panzer, 1806 of Madagascar (Hymenoptera: Crabronidae)
gellum black. Femora all black or forefemur ferruginous in apicoventral half; foretibia brown or ferruginous, midtibia brown ferruginous, hindtibia brown; tarsi varying from brown to ferruginous. ♂.– Unknown. GEOGRAPHIC DISTRIBUTION.– Known only from higher elevations (1020-1130 m above sea level) of Ranomafana National Park, Madagascar. RECORDS (Fig. 29).— All specimens were collected in Ranomafana National Park, Fianarantsoa Province. Holotype: ♀, Belle Vue at Talatakely at 21º15.99'S 47º25.21'E, alt. 1020 m, 14-21 Jan 2002, M. Irwin and R. Harin 'Hala (CAS). Paratypes: Radio tower at forest edge at 21º15.05'S 47º24.43'E, alt. 1130 m, 23 Aug – 7 Sept 2006 and 1-11 Nov 2006, M. Irwin and R. Harin 'Hala (2 ♀, CAS); same data as holotype except 22-28 Nov 2001 and R. Harin 'Hala alone (1 ♀, CAS); Vohiparara at 21º13.57'S 47º22.19'E, alt. 1110 m, 22-28 Nov 2001, R. Harin 'Hala (1 ♀, CAS). FIGURE 29. Collecting localities of Tachytes melanogaster sp. nov.
suggests that northern specimens of R. barnardi should be reexamined to confirm their specific identity. MAP 154. Distribution of Rhoptropus sp. in Angola. in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
suggests that northern specimens of R. barnardi should be reexamined to confirm their specific identity. MAP 154. Distribution of Rhoptropus sp. in Angola.
Figure 4. Comparison of ASS and PSS for multilayer model R-Time-Delay Artificial Neural Network Computing Models for Predicting Shelf Life of Processed Cheese
<p>TDNN models with single and multi layers were developed taking soluble nitrogen, pH,<br> standard plate count, yeast & mould count, spore count as input parameters, and sensory score as<br> output parameter for predicting the shelf life of processed cheese stored at 30o C. Mean Square<br> Error, Root Mean Square Error, Coefficient of Determination and Nash - Sutcliffo Coefficient were<br> used in order to compare the prediction ability of the developed TDNN models. Regression<br> equations were developed for predicting the shelf life of processed cheese, which came out as 28.25<br> days. Since, predicted value is close to the experimentally determined shelf life of 30 days, hence<br> from the study it can be concluded that TDNN artificial neural network models are quite efficient in<br> predicting shelf life of processed cheese.</p>
Data and R scripts for the paper "New Evidence for a Directed Forgetting Effect in Source Memory and a Role of Source Feature Intrinsicality in the Item-Method"
<p>Data and R scripts from Experiment 1 and 2 of the paper "New Evidence for a Directed Forgetting Effect in Source Memory and a Role of Source Feature Intrinsicality in the Item-Method".</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>
Questionnaire, R Scripts and Response Data Set of the Survey on Functionally Similar Code Clones
<p>In 2017, we conducted an open online survey regarding functionally similar code clones with practitioners. We make the used questionnaire, the data from the response to the questionnaire and our used R script for the analysis openly available.</p>
Fig. 6. Aedeagus. A–E. Synchroa punctata Newman, 1838. F–I. S. melanotoides Lewis, 1895. J–K. S. chinensis Nikitsky, 1999. L. S. formosana Hsiao, 2015. M–N. S. elongatula Nikitsky, 1999. O–P. Synchroina tenuipennis Fairmaire, 1898. Q–R in The world fauna of Synchroidae Lacordaire, 1859 (Coleoptera, Tenebrionoidea, Synchroidae)
Fig. 6. Aedeagus. A–E. Synchroa punctata Newman, 1838. F–I. S. melanotoides Lewis, 1895. J–K. S. chinensis Nikitsky, 1999. L. S. formosana Hsiao, 2015. M–N. S. elongatula Nikitsky, 1999. O–P. Synchroina tenuipennis Fairmaire, 1898. Q–R. Thescelosynchroa pangu (Hsiao, Li, Liu & Pang, 2016) gen. et comb. nov. — A–C, F–G, J, L–M, O, Q. Dorsal view. D–E, H–I, K, N, P, R. Lateral view. Scale bars: 0.5 mm.
BRAIN Journal-Personality Questionnaires as a Basis for Improvement of University Courses in Applied Computer Science and Informatics-Figure 5. Hierarchical clustering by scores across the EPQ–R scales for data about all the participants
<p>The clusters were generated using an implementation of a hierarchical clustering algorithm available in the R environment (R, n.d.). The top three clusters were extracted from a hierarchical cluster tree shown in Figure 5, while the color of data points in the visualization shown in figure 4 was determined based on cluster labels. Hierarchical clusters could be used when investigating which students in the analyzed sample share similar personality traits. This could be especially useful for smaller student groups as the teacher may manually inspect the cluster tree and its leaves, which designate individual students. For instance, there are three students in cluster 3, who are represented within the tree in Figure 5 by identifiers 14, 22, and 24. The students with identifiers 14 and 22 are more closely linked and more similar to each other than to the student with identifier 24. </p>
BRAIN Journal-Personality Questionnaires as a Basis for Improvement of University Courses in Applied Computer Science and Informatics-Figure 2. Comparison of mean scores on the EPQ–R scales
<p>The data for the workshop participants were loaded from the data warehouse, while the summary data from the original EPQ–R study were loaded from a CSV file. The bar chart featured in Figure 2 shows mean scores on the EPQ–R scales for the selected workshop participants (denoted by blue bars) and the selected participants of the original EPQ–R study (denoted by yellow bars). The mean scores on the P scale agree between the two samples, but the overall scores for the other scales vary. </p>
BRAIN Journal-Personality Questionnaires as a Basis for Improvement of University Courses in Applied Computer Science and Informatics-Figure 4. Radial visualization of scores across the EPQ–R scales for clustered data about all the participants
<p>On the other hand, the division of data points by gender might not be the only useful strategy when visually inspecting the analyzed sample in a coordinate system. Numerous clustering algorithms may be used to determine which data points share similar scores across the EPQ–R scales, i.e., which data points belong to the same cluster of similar entities based on their corresponding EPQ–R scores. A radial visualization in which data points were organized into three clusters is given in Figure 4. Each cluster is marked by a different color: cluster 1 by red, cluster 2 by green, and cluster 3 by blue. </p>
BRAIN Journal-Personality Questionnaires as a Basis for Improvement of University Courses in Applied Computer Science and Informatics-Figure 3. Radial visualization of scores across the EPQ–R scales for the male and female participants
<p>The radial visualization in Figure 3 depicts each participating student as a dot whose color indicates the gender of the student, blue for male students (M) and red for female students (F). The position of a dot in the visualization is determined by the scores of the associated student on the four EPQ–R scales. The radial overview may provide a much clearer outline of clustering within the analyzed group. Although there are only five female students, they are concentrated in a relatively narrow area within the radial coordinate system</p>
Simulating the dispersal of Monochamus galloprovinciallis : R script of the dispersal model and video of the simulation
<p>This folder contains the R script to simulate the dispersal of Monochamus galloprovincialis from an individual-based model and the resulting video. This study was conducted in the frame of the FP7 project called "REPHRAME" and a working group of ANSES (French Agency for Food, Environmental and Occupational Health & Safety).</p> <p>This material complements the following publication:</p> <p>Robinet C, David G, Jactel H (2019) Modeling the distances traveled by flying insects based on the combination of flight mill and mark-release-recapture experiments. Ecological Modelling, 402: 85-92.<br> https://doi.org/10.1016/j.ecolmodel.2019.04.006</p>
R replication code and data for: Do modern hunter-gatherers live in marginal habitats?
<p>Data and R replication code for testing the Marginal Habitat Hypothesis. The R code files contain all models and are organized by the figures they generate for the associated paper.</p> <p>The data are sourced from:</p> <p>1) the Standard Cross Cultural Sample (SCCS).</p> <p>2) NASA Moderate Resolution Imaging Spectroradiometer (MODIS) NPP data (MOD17A3 algorithm) from Numerical Terra Dynamic Simulation Group at the University of Montana.</p> <p>3) Marine Ecoregions Of the World (MEOW): <a href="http://maps.tnc.org/files/metadata/MEOW.xml">http://maps.tnc.org/files/metadata/MEOW.xml</a></p> <p>4) Terrestrial Ecoregions Of the World (TEOW): <a href="http://maps.tnc.org/files/metadata/TerrEcos.xml">http://maps.tnc.org/files/metadata/TerrEcos.xml</a></p>
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.