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Figs 13–15 in Six new species of the genus Empis (Diptera: Empididae) from the Altai Mountains of Russia
Figs 13–15. Empis barkalovi sp. nov., male. 13, habitus, lateral view (holotype); 14, postabdomen, lateral view; 15, terminalia, lateral view. Abbreviations: cerc, cercus; ej apod, ejaculatory apodeme; epand, epandrium; hypd, hypandrium; ph, phallus. Scale bar: 0.1 mm.
Figs 4, 5 in Six new species of the genus Empis (Diptera: Empididae) from the Altai Mountains of Russia
Figs 4, 5. Empis (Polyblepharis) seminskiensis sp. nov., male (holotype). 4, habitus, lateral view; 5, postabdomen, lateral view. Abbreviations: cerc, cercus; epand, epandrium; hypd, hypandrium; ph, phallus.
Figure 5 in Oldest shrimp and associated phyllocarid from the Lower Devonian of northern Russia
Figure 5. Restoration of (A) Pechoracaris aculicauda sp. nov. and (B) Archangeliphausia spinosa sp. nov.
Figure 3 in Oldest shrimp and associated phyllocarid from the Lower Devonian of northern Russia
Figure 3. Archangeliphausia spinosa sp. nov. A, specimen with oblique dorsoventrally compressed carapace and well preserved scaphocerite of 2nd antenna (PIN 4983/2). B, specimens with partially preserved telson and uropods (PIN 4983/ 32a, b). C, specimens with partially preserved telson and uropods (PIN 4983/12a, b). D, posterior part of abdomen with well preserved 6th pleosomite (PIN 4983/4a). E, posterior part of abdomen with well preserved pleura (PIN 4983/39). F, dorsoventrally compressed 6th pleosomite and partial uropods (PIN 4983/36). G, specimen with well preserved spinose pleura (PIN 4983/31).
Figure 2 in Oldest shrimp and associated phyllocarid from the Lower Devonian of northern Russia
Figure 2. Archangeliphausia spinosa sp. nov. A, holotype (PIN 4983/1a: right) and associated specimen (PIN 4983/1b). B, largest specimen found (PIN 4983/35), with relatively thick cuticle. C, juvenile specimen (PIN 4983/37). E, specimen with dorsoventrally compressed telson and uropods (PIN 4983/28; see also Fig. 4C). D, posterior part of abdomen with well preserved 6th pleosomite and telson (PIN 4983/8).
Figs 10−16. Apical abdominal segments. 10−15 in Omalium gildenkovi (Coleoptera: Staphylinidae: Omaliinae), a new species from the central part of European Russia
Figs 10−16. Apical abdominal segments. 10−15 – Omalium gildenkovi; 16 – O. exiguum. 10 – male sternite VIII; 11 – male tergite VIII; 12 – female sternite VIII; 13 – female tergite VIII; 14 – male genital segment; 15−16 – female genital segment. Scale bars 0.1 mm. Рис. 10−16. Вершинные брюшные сегменты. 10−15 – Omalium gildenkovi; 16 – O. exiguum. 10 – стернит VIII самца; 11 –тергит VIII самца; 12 – стернит VIII самки; 13 – тергит VIII самки; 14 – генитаΛьный сегмент самца; 15−16 – генитаΛьный сегмент самки. Масштабные Λинейки 0.1 мм.
Рис. 1–3. Самка Chrysopa viridinervis Jakowleff, 1869. 1 – экземпΛяр сбоку; 2 – гоΛова и груΑь сверху; 3 – гоΛова спереΑи. Figs 1–3. Female of Chrysopa viridinervis Jakowleff, 1869. 1 – specimen in lateral view; 2 – head and thorax, dorsal view; 3 – head, frontal view. in New data on Neuropterida from the southern part of the European Russia
Рис. 1–3. Самка Chrysopa viridinervis Jakowleff, 1869. 1 – экземпΛяр сбоку; 2 – гоΛова и груΑь сверху; 3 – гоΛова спереΑи. Figs 1–3. Female of Chrysopa viridinervis Jakowleff, 1869. 1 – specimen in lateral view; 2 – head and thorax, dorsal view; 3 – head, frontal view.
Рис. 4. МестонахожΑение Chrysopa viridinervis Jakowleff, 1869 на опушке ХваΛынского Λеса, Саратовская обΛасть. Fig. 4. The locality of Chrysopa viridinervis Jakowleff, 1869 at the edge of the Khvalynsk Forest, Saratov Region. in New data on Neuropterida from the southern part of the European Russia
Рис. 4. МестонахожΑение Chrysopa viridinervis Jakowleff, 1869 на опушке ХваΛынского Λеса, Саратовская обΛасть. Fig. 4. The locality of Chrysopa viridinervis Jakowleff, 1869 at the edge of the Khvalynsk Forest, Saratov Region.
Рис. 2. Изменение виΑового богатства и таксономической структуры зонаΛьных фаун прямокрыΛых северо-востока Русской равнины. Fig. 2. Changes in species richness and taxonomic structure of Orthoptera fauna of the Russian Plain. in Fauna and landscape-zonal distribution of Orthoptera in the Komi Republic (Russia)
Рис. 2. Изменение виΑового богатства и таксономической структуры зонаΛьных фаун прямокрыΛых северо-востока Русской равнины. Fig. 2. Changes in species richness and taxonomic structure of Orthoptera fauna of the Russian Plain.
Рис. 1. Карта района иссΛеΑований. 1 – граница зон раститеΛьности; 2 – граница поΑзон раститеΛьности; 3 – места сбора материаΛа; I – южная тайга; II – среΑняя тайга; III – северная тайга; IV – крайнесеверная тайга; V – ΛесотунΑра; VI – южная тунΑра; VII – северная тунΑра. Fig. 1. Map of the studied area. 1 – boundary of vegetation zones; 2 – boundary of vegetation subzones; 3 – collection points; I – southern taiga; II – middle taiga; III – northern taiga; IV – extremely northern taiga; V – forest tundra; VI – southern tundra; VII – northern tundra. in Fauna and landscape-zonal distribution of Orthoptera in the Komi Republic (Russia)
Рис. 1. Карта района иссΛеΑований. 1 – граница зон раститеΛьности; 2 – граница поΑзон раститеΛьности; 3 – места сбора материаΛа; I – южная тайга; II – среΑняя тайга; III – северная тайга; IV – крайнесеверная тайга; V – ΛесотунΑра; VI – южная тунΑра; VII – северная тунΑра. Fig. 1. Map of the studied area. 1 – boundary of vegetation zones; 2 – boundary of vegetation subzones; 3 – collection points; I – southern taiga; II – middle taiga; III – northern taiga; IV – extremely northern taiga; V – forest tundra; VI – southern tundra; VII – northern tundra.
Figs 4−9 in Omalium gildenkovi (Coleoptera: Staphylinidae: Omaliinae), a new species from the central part of European Russia
Figs 4−9. Aedeagi of Omalium spp. 4−5 – O. gildenkovi, holotype; 6−7 – O. exiguum (Smolensk Region, Russia); 8−9 – O. funebre (Alpi Carniche, Italy). 4, 6, 8 – ventral view; 5, 7, 9 – lateral view. Scale bars 0.1 mm. Рис. 4−9. ЭÃеагусы Omalium spp. 4−5 – O. gildenkovi, гоΛотип; 6−7 – O. exiguum (СмоΛенская обΛасть, Россия); 8−9 – O. funebre (Карнийские АΛьпы, ИтаΛия). 4, 6, 8 – виà снизу; 5, 7, 9 – виà сбоку. Масштабные Λинейки 0.1 мм.
Figs 1−3 in Omalium gildenkovi (Coleoptera: Staphylinidae: Omaliinae), a new species from the central part of European Russia
Figs 1−3. Species of the genus Omalium, habitus. 1–2 – O. gildenkovi sp. n.: 1 – male, holotype, 2 – female, paratype; 3 – O. exiguum, male (Smolensk Region, Russia). Scale bars 1 mm. Рис. 1−3. ВиÃы роÃа Omalium, габитус. 1–2 – O. gildenkovi sp. n.: 1 – самец, гоΛотип, 2 – самка, паратип; 3 – O. exiguum, самец (СмоΛенская обΛасть, Россия).Масштабные Λинейки 1 мм.
Fig. 4 in Northernmost records of mosquito species (Diptera: Culicidae) in northwestern Russia
Fig. 4. Northernmost records of Culex, Culiseta and Coquillettidia ssp. Doubtful records are marked with an asterisk (*).
Fig. 1 in Northernmost records of mosquito species (Diptera: Culicidae) in northwestern Russia
Fig. 1. Northwestern Russia. AP – Arkhangelsk Province, Komi – Komi Republic, KP – Kaliningrad Province, LP – Leningrad Province, MP – Murmansk Province, NAR – Nenets Autonomous Region, NP – Novgorod Province, PP – Pskov Province, RK – Republic of Karelia, SPb – St Petersburg, VP – Vologda Province.
Fig. 2 in Northernmost records of mosquito species (Diptera: Culicidae) in northwestern Russia
Fig. 2. Northernmost records of Anopheles and Aedes spp. Doubtful records are marked with an asterisk (*).
Replication data for An Empirical Approximation of the Effects of Trade Sanctions with an Application to Russia
<p>This is the dataset to replicate all the tables and figures in the paper <a href="https://doi.org/10.1093/epolic/eiad027">"An Empirical Approximation of the Effects of Trade Sanctions with an Application to Russia"</a>, published in <i>Economic Policy</i>, 2023, by Jean Imbs and Laurent Pauwels. All data manipulations and programming are detailed on the GitHub site:<a href="https://github.com/laurentpauwels/sanctionpaper"> https://github.com/laurentpauwels/sanctionpaper</a>. The raw and processed data are in this <i>sanctionpaperdata_v1/matlab/data folder. </i>For convenience the simulation output <i>(simulationoutput.txt) </i>required to build the scatter plots in Figure 1 with STATA is available in<i> sanctionpaperdata</i>_v1<i>/matlab/output</i>.</p><p><strong>Instructions</strong> </p><p> If you clone the GitHub repository:</p><p>1. Place the downloaded <i>data</i> folder (located in <i>sanctionpaperdata_v1/matlab/)</i> in the <i>matlab</i> folder of the GitHub repository. </p><p>2. Place the downloaded <i>simulation_output.txt</i> I(located in <i>sanctionpaperdata_v1/matlab/output/) </i>in the <i>matlab/output </i>folder of the GitHub repository if you do not want to run the simulations as detailed on GitHub.</p><p><strong>Description</strong></p><p>The <i>matlab/data/raw</i> folder contains an <i>ICIO21</i> folder with the ICIO21 data, and a <i>WIOD</i> folder with the SEA16 data (in <i>data/raw/WIOD/SEA16</i>) and the WIOT16 data in CSV format (in <i>data/raw/WIOD/WIOT16</i>).</p><p>NOTE: WIOD provides the data in XLSB format. The XLSB WIOD data is in the <i>WIOT_in_EXCEL.zip</i> located in the <i>matlab/data/raw/WIOD/</i>. Python is used to convert XLSB into CSV files. See python code in GitHub repository for unzipping and conversion to CSV. The converted CSV files are provided for convenience.</p><p>The parsed and pre-processed ICIO21, SEA16, and WIOT16 data are stored in the <i>/matlab/data/processed</i> folder into three separate .mat structure files:</p><p><i>icio21_strc.mat</i> contains:</p><ul><li>the meta data (<i>icio21_text</i>), i.e., the information about the structure of the numerical data such as lists of countrycode, countries, industrycode, industries, isic_rev4 codes, years covered, name of final categories, etc.</li><li>the numerical data (<i>icio21_data</i>):<ul><li>Z (<i>icio21_data.Z</i>), the intermediate IO data for the listed industries (R), countries (N), and years (T). Its structure is 3-dimensionsal: (NxR)x(NxR)xT.</li><li>F (<i>icio21_data.F</i>), the final demand data for the same countries, industries and years. Its structure is 3-dimension: (NxR)x(NxC)xT. The columns are NxC where C are the number of final demand categories.</li></ul></li></ul><p><br><i>wiod16_strc.mat</i> has the same structure as <i>icio21_strc.ma</i>t with the meta data in <i>wiot16_text</i> and the numerical data in <i>wiot16_data</i>.</p><p><i>sea16_strc.mat</i> has the meta data in <i>sea16_text</i> and the numerical data in <i>sea16_data</i>. SEA16 contains 16 variables instead of Input-Output type data. The country, industry, and year coverage is not the same as ICIO21.</p><p>NOTE: <i>matlab/scripts/convertMatlabStruc2data.m</i> in the GitHub repository converts <i>MATLAB v7.3 </i>format ("structure data") to an updated format without structure so that it is more easily compatible with other software. All data parsing and preprocessing are done with MATLAB, see GitHub repository for details.</p><p><strong>Sources</strong></p><p>The raw data come from these sources:</p><p>1. OECD Inter-Country Input-Output (ICIO) data November 2021 release (downloaded on 2 July 2023)</p><p>- Source: OECD-ICIO 2021 release data is available at <a href="http://oe.cd/icio">http://oe.cd/icio</a></p><p>2. WIOD Socio-Economic Accounts (SEA) data 2016 release (downloaded on 30 May 2023)</p><p>- Source: <a href="https://www.rug.nl/ggdc/valuechain/wiod/wiod-2016-release">https://www.rug.nl/ggdc/valuechain/wiod/wiod-2016-release</a></p><p>3. WIOD World Input-Output Tables (WIOT) data November 2016 (downloaded on 23 June 2023)</p><p>- Source: <a href="https://www.rug.nl/ggdc/valuechain/wiod/wiod-2016-release">https://www.rug.nl/ggdc/valuechain/wiod/wiod-2016-release</a> </p>
Figure 1 in The first occurrence of the subgenus Premicrodispus (Premicrodispulus) (Acari: Heterostigmata: Microdispidae) from Russia, with description of a new species
Figure 1. Premicrodispus (Premicrodispulus) kurganiensis sp. nov. (female) – A. Dorsum of body; B. Venter of body. Legs omitted.
Figure 3 in The first occurrence of the subgenus Premicrodispus (Premicrodispulus) (Acari: Heterostigmata: Microdispidae) from Russia, with description of a new species
Figure 3. DIC micrographs of Premicrodispus (Premicrodispulus) kurganiensis sp. nov. (female) – A. Dorsum of body; B. Venter of body.
Figure 2 in The first occurrence of the subgenus Premicrodispus (Premicrodispulus) (Acari: Heterostigmata: Microdispidae) from Russia, with description of a new species
Figure 2. Premicrodispus (Premicrodispulus) kurganiensis sp. nov. (female) – A–D. Left legs I-IV, respectively, dorsal aspect.
Figure 7 in First record of the genus Penthalodes (Acari: Eupodoidea: Penthalodidae) from Russia, with description of a new species
Figure 7. SEM micrographs of Penthalodes caucasicus sp. nov. (female) – A. Sensory cluster on tibia I; B. Tarsus II, dorsal aspect; C. Rhagidial organ II, D. Tibia II, dorsal aspect; E. Rhagidial solenidion on tibia II; F. Femur and genu I, dorsal aspect.
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.