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◂Fig. 6 A molecular phylogeny of 56 systematically representative Peridiniaceae, including 42 accessions assignable to P. cinctum from various geographic regions. Maximum likelihood tree (– ln = 21,884.93), as inferred from a rRNA nucleotide alignment (1137 parsimony-informative sites) and with strain number information. Numbers on branches are ML bootstrap (above) and Bayesian support values (below) for the clusters (asterisks indicate maximal support values, values under 50 and 0.90, respectively, are not shown). Clades are indicated (CZE Czech Republic, E East, GER Germany, HET Heterocapsaceae, N North, PPE Protoperidiniaceae, POL Poland, rbn ribotype n, S South, SWE Sweden, UKR Ukraine, W West) in Bumps on the back: An unusual morphology in phylogenetically distinct Peridinium aff. cinctum (= Peridinium tuberosum; Peridiniales, Dinophyceae)

◂Fig. 6 A molecular phylogeny of 56 systematically representative Peridiniaceae, including 42 accessions assignable to P. cinctum from various geographic regions. Maximum likelihood tree (– ln = 21,884.93), as inferred from a rRNA nucleotide alignment (1137 parsimony-informative sites) and with strain number information. Numbers on branches are ML bootstrap (above) and Bayesian support values (below) for the clusters (asterisks indicate maximal support values, values under 50 and 0.90, respectively, are not shown). Clades are indicated (CZE Czech Republic, E East, GER Germany, HET Heterocapsaceae, N North, PPE Protoperidiniaceae, POL Poland, rbn ribotype n, S South, SWE Sweden, UKR Ukraine, W West)

opencc-by-4.0Jan 2024View details →
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◂Fig. 4 A molecular tree of 51 systematically representative Peridiniaceae, including all 28 accessions assignable to P. volzii. Maximum Likelihood tree (–ln = 22,017.62), as inferred from a rRNA nucleotide alignment (1,129 parsimony-informative sites) and with strain number information. Numbers on branches are ML bootstrap (above) and Bayesian support values (below) for the clusters (asterisks indicate maximal support values, values under 50 and 0.90, respectively, are not shown). Clades are indicated (abbreviations: HET, Heterocapsaceae; PPE, Protoperidiniaceae) in Morphological and molecular variability of Peridinium volzii Lemmerm. (Peridiniaceae, Dinophyceae) and its relevance for infraspecific taxonomy

◂Fig. 4 A molecular tree of 51 systematically representative Peridiniaceae, including all 28 accessions assignable to P. volzii. Maximum Likelihood tree (–ln = 22,017.62), as inferred from a rRNA nucleotide alignment (1,129 parsimony-informative sites) and with strain number information. Numbers on branches are ML bootstrap (above) and Bayesian support values (below) for the clusters (asterisks indicate maximal support values, values under 50 and 0.90, respectively, are not shown). Clades are indicated (abbreviations: HET, Heterocapsaceae; PPE, Protoperidiniaceae)

opencc-by-4.0Oct 2021View details →
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Рис. 4. Карта-схема мест встреч пятнистого оΛеня в Нижнем Приамурье в 1979–2021 гг. КваΑраты — места фоторегистрации: 1 — верховья рр. Обор и Àурмин; 2, 3 — Анюйский национаΛьный парк; круги — места встреч по Λитературным и опросным Αанным: 1 — окрестности с. Кутузовка (место первой регистрации в 1979 г.); 2 — верховья р. СиΑима; 3 — устье р. Нижняя Буге; 4 — бассейн р. Мухен; 5–8 — Анюйский национаΛьный парк (соответственно, р. Пихца, урочище Сира, окрестности с. Арсеньево, устье р. СоΛоми); 9 — среΑнее течение р. СоΛоми; 10 — 76 км трассы ΔиΑога — Ванино; 11 — бассейн р. Кия; 12 — бассейн р. ХойΑур; 13 — бассейн р. Нюра Fig. 4. A schematic map of sika deer sightings in the Lower Amur Region in 1979-2021. Squares designate sites of photo recording: 1 — upper reaches of the rivers Obor and Durmin; 2, 3 — Anyui National Park; circles designate sightings sites according to the literature and the survey data: 1 — vicinity of the village Kutuzovka (the place of the first registration in 1979); 2 — upper reaches of the river Sidima; 3 — the mouth of the river Lower Buge; 4 — the Mukhen River basin; 5-8 —Anyui National Park (respectively, the Pikhtsa River, the Sira tract, the vicinity of the village Arsenyevo, the mouth of the Solomi River); 9 — the middle course of the Solomi River; 10 — 76 km of the Lidoga-Vanino Highway; 11 — the Kiya River basin; 12 — the Khoydur River basin; 13 — the Nyura River basin in New data on the distribution of sika deer Cervus nippon Temminck, 1838 in the Lower Amur Region

Рис. 4. Карта-схема мест встреч пятнистого оΛеня в Нижнем Приамурье в 1979–2021 гг. КваΑраты — места фоторегистрации: 1 — верховья рр. Обор и Àурмин; 2, 3 — Анюйский национаΛьный парк; круги — места встреч по Λитературным и опросным Αанным: 1 — окрестности с. Кутузовка (место первой регистрации в 1979 г.); 2 — верховья р. СиΑима; 3 — устье р. Нижняя Буге; 4 — бассейн р. Мухен; 5–8 — Анюйский национаΛьный парк (соответственно, р. Пихца, урочище Сира, окрестности с. Арсеньево, устье р. СоΛоми); 9 — среΑнее течение р. СоΛоми; 10 — 76 км трассы ΔиΑога — Ванино; 11 — бассейн р. Кия; 12 — бассейн р. ХойΑур; 13 — бассейн р. Нюра Fig. 4. A schematic map of sika deer sightings in the Lower Amur Region in 1979-2021. Squares designate sites of photo recording: 1 — upper reaches of the rivers Obor and Durmin; 2, 3 — Anyui National Park; circles designate sightings sites according to the literature and the survey data: 1 — vicinity of the village Kutuzovka (the place of the first registration in 1979); 2 — upper reaches of the river Sidima; 3 — the mouth of the river Lower Buge; 4 — the Mukhen River basin; 5-8 —Anyui National Park (respectively, the Pikhtsa River, the Sira tract, the vicinity of the village Arsenyevo, the mouth of the Solomi River); 9 — the middle course of the Solomi River; 10 — 76 km of the Lidoga-Vanino Highway; 11 — the Kiya River basin; 12 — the Khoydur River basin; 13 — the Nyura River basin

opencc-by-4.0Dec 2023View details →
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Figure 6. (a1), (a2), (a3), (a4), (a5), (a6), (a7) and (a8) watermarked image is degraded respectively through JPEG2000 compression, JPEG compression, median filtering, adding Salt&Pepper noise, rotating, center cropping, surrounding cropping and scaling. (b1), (b2), (b3), (b4), (b5), (b6), (b7) and (b8) The corresponding extracted watermarks.-Discrete Wavelet Transform Method: A New Optimized Robust Digital Image Watermarking Scheme

<p>This paper has described a scheme for digital watermarking of still images based on discrete<br> wavelet transform. In the proposed method, the embedded logo watermark can be extracted without<br> access to the original image. It has been confirmed that the proposed watermarking method is able<br> to extract the embedded logo watermark from the watermarked images that have degraded through<br> compression, filtering, cropping and scaling. Although this algorithm is not robust against rotation,<br> it can completely extract the watermark from watermarked images that lose about 35% of their<br> areas by cropping attack.</p>

opencc-by-4.0Jun 2012View details →
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Evolution of citations received by the Journal of Contemporary Administration (RAC) from journals indexed in Scopus (and their respective fields of knowledge, 1999-2018)

<p>This figure shows the evolution of the number of citations received by the RAC among the journals indexed in Scopus. * The query was performed on the Scopus platform on 11/15/2018, so the last year of the illustrated period still did not count on the total number of citations. You can see this figure and other comments by using the Editorial for Issue 22(6)2018 of The Journal of Contemporary Administration (Revista de Administra&ccedil;&atilde;o Contempor&acirc;nea-RAC). www.rac.anpad.org.br</p>

opencc-by-4.0Nov 2018View details →
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Text-fig. 8.—The shape of the frontals. A, the Jordan theropod, LACM 28471, B, Albertosaurus libratus, AMNH 5664, C, A. libratus, USNM 12814. All are drawn to the same length. Vertical lines to the right indicate relative lengths of the three frontals respectively. (B, courtesy of Dale A. Russell, C, redrawn from Russell, 1970). in A new Theropod Dinosaur from the Upper Cretaceous of Central Montana

Text-fig. 8.—The shape of the frontals. A, the Jordan theropod, LACM 28471, B, Albertosaurus libratus, AMNH 5664, C, A. libratus, USNM 12814. All are drawn to the same length. Vertical lines to the right indicate relative lengths of the three frontals respectively. (B, courtesy of Dale A. Russell, C, redrawn from Russell, 1970).

opencc-by-4.0Apr 1977View details →
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Redistribution of the map with the Special Areas of Conservation in Flanders with respect to Directive 92/43/EEC (status 2013-01-18)

<p>This is a redistribution of a subdataset of the data source &#39;<a href="http://www.geopunt.be/catalogus/datasetfolder/a84a87f5-5607-4019-a8db-9d52a827786b">Habitatrichtlijn(deel)gebieden</a>&#39; (Special Areas of Conservation), originally published by &#39;Agentschap Natuur en Bos&#39; (Agency Nature and Forest) and distributed by &#39;Informatie Vlaanderen&#39; under a CC-BY compatible license. It is redistributed&nbsp;for reproducible, analytical workflows on Flemish Natura 2000 habitats and regionally important biotopes.</p> <p>This dataset contains the delimitation of the Special Areas of Conservation (SAC) with respect to the EC Habitats Directive (92/43/EEC) as approved by the Flemish government on 4 May 2001, ratified on 24 May 2002 and published in the Belgian Official Gazette on 17 August 2002. On 15 February 2008, the Flemish Government also proposed the water zone of the IJzer and Scheldt estuary to the Commission as additional areas of Community interest. After public investigation, the Flemish government decides on January 15, 2013 (published in the Belgian Official Gazette on February 4, 2013) to finalize the delimitation of the sub-area 11 &#39;Boterakker&#39; of the special protection zone BE2200037 &#39;Uiterwaarden van de Limburgse Maas met Vijverbroek&#39; as SAC in application of the Habitats Directive. This zone is now being proposed to the European Commission as an additional area of Community interest. The Habitats Directive aims to preserve biodiversity in the EU Member States and seeks to conserve and restore the natural habitats and the wild fauna and flora that are part of them. The most important measure is the designation of Special Areas of Conservation.</p> <p>This subdataset is a shapefile of geospatial polygons that delimit the (subareas of the) Special Areas of Conservation in the Flemish region with respect to the European directive 92/43/EEC, identical to the shapefile <code>ps_hbtrl_deel</code> in the original data source.</p> <p>The data source is produced, owned and administered by the Agency Nature and Forest of the Flemish government.</p>

opencc-by-4.0Sep 2019View details →
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The dataset for the paper titled "Convergence of convective updraft ensembles with respect to the grid spacing of atmospheric models" by Sueki et al.

<p>This repository contains data, analysis codes, and model configuration files for NICAM and SCALE-RM, which is used for the paper titled &quot;Convergence of convective updraft ensembles with respect to the grid spacing of atmospheric models&quot; by Sueki et al.</p> <p>There are 6 fortran codes at the top directory.<br> 1. deep_convective_area.f90<br> 2. algorithm01.f90<br> 3. algorithm02.f90<br> 4. statistics_algorithm01.f90<br> 5. statistics_algorithm02.f90<br> 6. spectrum_calculation.f90<br> You can find description for each code at the top it.</p> <p>All data are archived in subdirectories. Directory tree is following:</p> <p>Sueki-et-al.2020/<br> |-- exp-a<br> | &nbsp; |-- dx0200<br> | &nbsp; | &nbsp; |-- algorithm01<br> | &nbsp; | &nbsp; `-- algorithm02<br> | &nbsp; | &nbsp; &nbsp; &nbsp; |-- r00000-00500<br> | &nbsp; | &nbsp; &nbsp; &nbsp; |-- r00500-01000<br> | &nbsp; | &nbsp; &nbsp; &nbsp; |-- r01000-02000<br> | &nbsp; | &nbsp; &nbsp; &nbsp; |-- r02000-04000<br> | &nbsp; | &nbsp; &nbsp; &nbsp; |-- r04000-08000<br> | &nbsp; | &nbsp; &nbsp; &nbsp; `-- r08000-99999<br> | &nbsp; |-- dx0400<br> | &nbsp; | &nbsp; |-- algorithm01<br> | &nbsp; | &nbsp; `-- algorithm02<br> | &nbsp; | &nbsp; &nbsp; &nbsp; |-- r00000-00500<br> | &nbsp; | &nbsp; &nbsp; &nbsp; |-- r00500-01000<br> | &nbsp; | &nbsp; &nbsp; &nbsp; |-- r01000-02000<br> | &nbsp; | &nbsp; &nbsp; &nbsp; |-- r02000-04000<br> | &nbsp; | &nbsp; &nbsp; &nbsp; |-- r04000-08000<br> | &nbsp; | &nbsp; &nbsp; &nbsp; `-- r08000-99999<br> | &nbsp; |-- dx0800<br> | &nbsp; | &nbsp; |-- algorithm01<br> | &nbsp; | &nbsp; `-- algorithm02<br> | &nbsp; | &nbsp; &nbsp; &nbsp; |-- r00000-00500<br> | &nbsp; | &nbsp; &nbsp; &nbsp; |-- r00500-01000<br> | &nbsp; | &nbsp; &nbsp; &nbsp; |-- r01000-02000<br> | &nbsp; | &nbsp; &nbsp; &nbsp; |-- r02000-04000<br> | &nbsp; | &nbsp; &nbsp; &nbsp; |-- r04000-08000<br> | &nbsp; | &nbsp; &nbsp; &nbsp; `-- r08000-99999<br> | &nbsp; |-- dx1600<br> | &nbsp; | &nbsp; |-- algorithm01<br> | &nbsp; | &nbsp; `-- algorithm02<br> | &nbsp; | &nbsp; &nbsp; &nbsp; |-- r00000-00500<br> | &nbsp; | &nbsp; &nbsp; &nbsp; |-- r00500-01000<br> | &nbsp; | &nbsp; &nbsp; &nbsp; |-- r01000-02000<br> | &nbsp; | &nbsp; &nbsp; &nbsp; |-- r02000-04000<br> | &nbsp; | &nbsp; &nbsp; &nbsp; |-- r04000-08000<br> | &nbsp; | &nbsp; &nbsp; &nbsp; `-- r08000-99999<br> | &nbsp; `-- dx3200<br> | &nbsp; &nbsp; &nbsp; |-- algorithm01<br> | &nbsp; &nbsp; &nbsp; `-- algorithm02<br> | &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; |-- r00000-00500<br> | &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; |-- r00500-01000<br> | &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; |-- r01000-02000<br> | &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; |-- r02000-04000<br> | &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; |-- r04000-08000<br> | &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; `-- r08000-99999<br> |-- exp-b<br> | &nbsp; |-- dx0050<br> | &nbsp; | &nbsp; |-- algorithm01<br> | &nbsp; | &nbsp; `-- algorithm02<br> | &nbsp; | &nbsp; &nbsp; &nbsp; |-- r00000-00500<br> | &nbsp; | &nbsp; &nbsp; &nbsp; |-- r00500-01000<br> | &nbsp; | &nbsp; &nbsp; &nbsp; |-- r01000-02000<br> | &nbsp; | &nbsp; &nbsp; &nbsp; |-- r02000-04000<br> | &nbsp; | &nbsp; &nbsp; &nbsp; |-- r04000-08000<br> | &nbsp; | &nbsp; &nbsp; &nbsp; `-- r08000-99999<br> | &nbsp; |-- dx0100<br> | &nbsp; | &nbsp; |-- algorithm01<br> | &nbsp; | &nbsp; `-- algorithm02<br> | &nbsp; | &nbsp; &nbsp; &nbsp; |-- r00000-00500<br> | &nbsp; | &nbsp; &nbsp; &nbsp; |-- r00500-01000<br> | &nbsp; | &nbsp; &nbsp; &nbsp; |-- r01000-02000<br> | &nbsp; | &nbsp; &nbsp; &nbsp; |-- r02000-04000<br> | &nbsp; | &nbsp; &nbsp; &nbsp; |-- r04000-08000<br> | &nbsp; | &nbsp; &nbsp; &nbsp; `-- r08000-99999<br> | &nbsp; |-- dx0200<br> | &nbsp; | &nbsp; |-- algorithm01<br> | &nbsp; | &nbsp; `-- algorithm02<br> | &nbsp; | &nbsp; &nbsp; &nbsp; |-- r00000-00500<br> | &nbsp; | &nbsp; &nbsp; &nbsp; |-- r00500-01000<br> | &nbsp; | &nbsp; &nbsp; &nbsp; |-- r01000-02000<br> | &nbsp; | &nbsp; &nbsp; &nbsp; |-- r02000-04000<br> | &nbsp; | &nbsp; &nbsp; &nbsp; |-- r04000-08000<br> | &nbsp; | &nbsp; &nbsp; &nbsp; `-- r08000-99999<br> | &nbsp; |-- dx0400<br> | &nbsp; | &nbsp; |-- algorithm01<br> | &nbsp; | &nbsp; `-- algorithm02<br> | &nbsp; | &nbsp; &nbsp; &nbsp; |-- r00000-00500<br> | &nbsp; | &nbsp; &nbsp; &nbsp; |-- r00500-01000<br> | &nbsp; | &nbsp; &nbsp; &nbsp; |-- r01000-02000<br> | &nbsp; | &nbsp; &nbsp; &nbsp; |-- r02000-04000<br> | &nbsp; | &nbsp; &nbsp; &nbsp; |-- r04000-08000<br> | &nbsp; | &nbsp; &nbsp; &nbsp; `-- r08000-99999<br> | &nbsp; `-- dx0800<br> | &nbsp; &nbsp; &nbsp; |-- algorithm01<br> | &nbsp; &nbsp; &nbsp; `-- algorithm02<br> | &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; |-- r00000-00500<br> | &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; |-- r00500-01000<br> | &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; |-- r01000-02000<br> | &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; |-- r02000-04000<br> | &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; |-- r04000-08000<br> | &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; `-- r08000-99999<br> |-- model-configuration-file<br> | &nbsp; |-- nicam<br> | &nbsp; `-- scale-rm<br> | &nbsp; &nbsp; &nbsp; |-- exp-a<br> | &nbsp; &nbsp; &nbsp; | &nbsp; |-- init<br> | &nbsp; &nbsp; &nbsp; | &nbsp; |-- pp<br> | &nbsp; &nbsp; &nbsp; | &nbsp; `-- run<br> | &nbsp; &nbsp; &nbsp; `-- exp-b<br> | &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; |-- init<br> | &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; |-- pp<br> | &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; |-- run01<br> | &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; |-- run02<br> | &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; `-- run03<br> |-- spectrum<br> `-- statistics</p>

opencc-by-4.0Nov 2019View details →
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Figure 3 Pseudosympycnus Robinson. Male tarsus I and III respectively. A–B. P in Three new species of Pseudosympycnus (Diptera, Dolichopodidae) from Peru and an updated key to the species

Figure 3 Pseudosympycnus Robinson. Male tarsus I and III respectively. A–B. P. pennipes sp. nov., holotype ♂. A. Tarsus I. B. Tarsus III; C–D. P. latitarsus sp. nov., holotype ♂. C. Tarsus I. D. Tarsus III, short dorsal projection on IIIt highlighted; E–F. P. rafaeli sp. nov., holotype ♂. E. Tarsus I. F. Tarsus III. Scale bars = 0.2 mm. Abbreviations: It = fore 3 1–5 tarsomeres 1 to 5; IIIt1–5: hind tarsomeres 1 to 5

opencc-by-4.0May 2022View details →
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Text-fig. 3. "Glossanodon" musceli A – nearly complete specimen NM Pc 02875a; B – caudal skeleton of specimens NM Pc 02871b and NM Pc 02871a (B-1 and B-2 respectively; part and counterpart) and its tentative reconstruction (B-3); C – specimen NM Pc 02873a, general view (C-1) and detail of the head (C-2); D – specimen NM Pc 02874a (the white arrow shows normally developed neural spine on the anterior abdominal vertebra). Abbreviations: ao – antorbitale; d – dentale; epu – epurale; fr – frontale; hp1-6 – hypurals 1-6; io – infraorbitals; mx – maxillare; npu2 – neural spine of second preural vertebra; ph – parhypurale; pu1 – first preural vertebra; pop – preoperculum; psp – parasphenoideum; stu – stegurale; u1 – urale 1; u2 – urale 2. in An Annotated List Of The Oligocene Fish Fauna From The Osíčko Locality (Menilitic Fm.; Moravia, The Czech Republic)

Text-fig. 3. "Glossanodon" musceli A – nearly complete specimen NM Pc 02875a; B – caudal skeleton of specimens NM Pc 02871b and NM Pc 02871a (B-1 and B-2 respectively; part and counterpart) and its tentative reconstruction (B-3); C – specimen NM Pc 02873a, general view (C-1) and detail of the head (C-2); D – specimen NM Pc 02874a (the white arrow shows normally developed neural spine on the anterior abdominal vertebra). Abbreviations: ao – antorbitale; d – dentale; epu – epurale; fr – frontale; hp1-6 – hypurals 1-6; io – infraorbitals; mx – maxillare; npu2 – neural spine of second preural vertebra; ph – parhypurale; pu1 – first preural vertebra; pop – preoperculum; psp – parasphenoideum; stu – stegurale; u1 – urale 1; u2 – urale 2.

opencc-by-4.0Dec 2013View details →
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Text-fig. 5. CA climate charts for the Monte Tondo and Tossignano floras, showing climatic ranges of the Nearest Living Relatives of the fossil taxa with respect to MPwarm. For legend see Text-fig. 3. in Palaeoenvironmental Analysis Of The Messinian Macrofossil Floras Of Tossignano And Monte Tondo (Vena Del Gesso Basin, Romagna Apennines, Northern Italy)

Text-fig. 5. CA climate charts for the Monte Tondo and Tossignano floras, showing climatic ranges of the Nearest Living Relatives of the fossil taxa with respect to MPwarm. For legend see Text-fig. 3.

opencc-by-4.0Dec 2015View details →
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Text-fig. 4. CA climate charts for the Monte Tondo and Tossignano floras, showing climatic ranges of the Nearest Living Relatives of the fossil taxa with respect to MAP. For legend see Text-fig. 3. in Palaeoenvironmental Analysis Of The Messinian Macrofossil Floras Of Tossignano And Monte Tondo (Vena Del Gesso Basin, Romagna Apennines, Northern Italy)

Text-fig. 4. CA climate charts for the Monte Tondo and Tossignano floras, showing climatic ranges of the Nearest Living Relatives of the fossil taxa with respect to MAP. For legend see Text-fig. 3.

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Text-fig. 3. CA climate charts for the Monte Tondo and Tossignano floras, showing climatic ranges of the Nearest Living Relatives of the fossil taxa with respect to MAT. Right-hand positoned large bold figures and shaded areas in each case indicate the Coexistence Interval, with the number of overlapping taxa being at a maximum. in Palaeoenvironmental Analysis Of The Messinian Macrofossil Floras Of Tossignano And Monte Tondo (Vena Del Gesso Basin, Romagna Apennines, Northern Italy)

Text-fig. 3. CA climate charts for the Monte Tondo and Tossignano floras, showing climatic ranges of the Nearest Living Relatives of the fossil taxa with respect to MAT. Right-hand positoned large bold figures and shaded areas in each case indicate the Coexistence Interval, with the number of overlapping taxa being at a maximum.

opencc-by-4.0Dec 2015View details →
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Figure. Constrained ordination plot as produced from canonical correspondence analysis (CCA). The variability of environmental variables is summarized on Axis 1 and Axis 2 of the constrained biplot, explaining the variability of the trophic groups included in the red fox's diet. Trophic groups are shown with black line (unfilled) pyramids, whereas environmental variables are shown with black filled pyramids. Proximity and distance of response centroids to predictor centroids indicate positive and negative correlations between them, respectively. in Factors affecting the diet of the red fox (Vulpes vulpes) in a heterogeneous Mediterranean landscape

Figure. Constrained ordination plot as produced from canonical correspondence analysis (CCA). The variability of environmental variables is summarized on Axis 1 and Axis 2 of the constrained biplot, explaining the variability of the trophic groups included in the red fox's diet. Trophic groups are shown with black line (unfilled) pyramids, whereas environmental variables are shown with black filled pyramids. Proximity and distance of response centroids to predictor centroids indicate positive and negative correlations between them, respectively.

opencc-by-4.0Apr 2015View details →
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Figure. Observed (S obs) and estimated species richness for Chao 2, Jackknife 2, and Bootstrap, calculated for Lumbricidae in East Serbia. Vertical dashed lines represent 50%, 75%, and 100% of the sampling effort, respectively. in A nonparametric approach in quantifying species richness of Lumbricidae in East Serbia, Balkan Peninsula

Figure. Observed (S obs) and estimated species richness for Chao 2, Jackknife 2, and Bootstrap, calculated for Lumbricidae in East Serbia. Vertical dashed lines represent 50%, 75%, and 100% of the sampling effort, respectively.

opencc-by-4.0Oct 2016View details →
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Figure. Food preferences of Chinese mole shrew (Anourosorex squamipes) from an urban area. a, b, c, d. Mean relative consumption along six trials for each food set are shown in a, b, c, d, respectively. (see materials and methods for details on the calculation of relative consumption). in Natural animal food preference of Chinese mole shrew (Anourosorex squamipes) from an urban area: a laboratory study

Figure. Food preferences of Chinese mole shrew (Anourosorex squamipes) from an urban area. a, b, c, d. Mean relative consumption along six trials for each food set are shown in a, b, c, d, respectively. (see materials and methods for details on the calculation of relative consumption).

opencc-by-4.0Dec 2020View details →
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Fig. 2 in Patterns of gastrointestinal parasite infections in bighorn sheep, Ovis canadensis, with respect to host sex and seasonality

Fig. 2. Seasonal differences in fecal egg counts in female (blue) and male (red) bighorn sheep. Point intervals display the mean count ±95% confidence intervals as predicted by generalised linear mixed effects models. Seasons are: Late gestation (Late gestation/early lactation between April to June); Lactation/summer (between July and October); Rut (November and December); Winter (Winter/early gestation from January to March). Parasites are a) Strongyle; b) Nematodirus; c) Marshallagia; d) Protostrongylus lungworm; e) Eimeria. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)

opencc-by-4.0Aug 2024View details →
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Fig. 1 in Patterns of gastrointestinal parasite infections in bighorn sheep, Ovis canadensis, with respect to host sex and seasonality

Fig. 1. Schematic of the reproductive biology and seasons of bighorn sheep. The blue circle represents the entire year, where the top is December, 3 o'clock March, 6 o'clock June, 10 o'clock October etc. The grey quarter circle represents the season Jan–March = Winter/early gestation; the dark green quarter circles represent the season from April–June = late gestation/early lactation; the light green line represents the season between July and October, which is also representing lactation/summer; and the brown line is representing November and December, or the rutting season. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)

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Fig. 3 in Patterns of gastrointestinal parasite infections in bighorn sheep, Ovis canadensis, with respect to host sex and seasonality

Fig. 3. Differences in mean and standard error in strongyle counts between males that use the coursing or tending mating tactic. Point intervals display the mean count ±95% confidence intervals as predicted by the generalised linear mixed effects model.

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Fig. 8 in Scanning the Hyocephalidae: details of their external morphology with respect to phylogenetic relationships within Eutrichophora (Hemiptera: Heteroptera)*

Fig. 8. Abdominal trichobothria in Hyocephalus aprugnus Bergroth, 1906, female: A – position of trichobothria on sternites III and IV (AT3 and AT4) (magnification 45×); B – AT3 (300×); C–D – AT4 (C – 400×, D – 800×); E–G – AT5 (E – 160×, F – 300×, G – 800×); H – AT6 (300×). Abbreviations: AT3–4 – abdominal trichobothria on sternites III to IV; bo – bothrium; cs – crocus-like structure; sp – spiracle; tr – trichome. Scale bars: 50 μm (D, G), 0.1 mm (B–C, F, H), 0.3 mm (E), 1 mm (A).

opencc-by-4.0Aug 2019View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record