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Рис. 5. Особенности окраски верха гоΛовы (a), спинных перьев (b) и верха крыΛа (c) у моΛоΑых птиц маΛого (a — сверху, b — сΛева, c — справа) и китайского (a — снизу, b — справа, c — сΛева) воΛчков Fig. 5. Colouration of the upper head (a), dorsal feathers (b), and upper covers (c) in young birds of little (a — above; b — left; c — right) and yellow (a — below; b — right; c — left) bitterns in The first case of breeding of little bittern Ixobrychus minutus and hybrids of I. minutus with I. sinensis in the Russian Far East
Рис. 5. Особенности окраски верха гоΛовы (a), спинных перьев (b) и верха крыΛа (c) у моΛоΑых птиц маΛого (a — сверху, b — сΛева, c — справа) и китайского (a — снизу, b — справа, c — сΛева) воΛчков Fig. 5. Colouration of the upper head (a), dorsal feathers (b), and upper covers (c) in young birds of little (a — above; b — left; c — right) and yellow (a — below; b — right; c — left) bitterns
Proglacial sediments in High Arctic glacier foreland: A case study of Werenskioldbreen, Svalbard
<p><span>The glacier environment exhibit a high sensitivity to the global climate change leading to progressive deglaciation and the exposure of previously ice-covered land. The newly exposed <a name="_Hlk165289159"></a>terrain provides a valuable opportunity to observe rapid ecosystem changes, such as the accumulation of glacial sediments, the development of soil-forming and progressive alterations in water and biogeochemical cycles. While developing hydrological and hydrogeological models for the Werenskioldbreen proglacial expanding zone, we encountered a significant problem due to insufficient data for parameterizing glacial sediments, constituting the environment for water flow and storage. These data provide detail insight into the physicochemical parameters of glacial sediments and classify them in terms of grain size distribution, hydraulic conductivity, pH, and C<sub>org</sub>, N<sub>t </sub>and P<sub>t</sub> contents. </span><span>Samples for macroscopic examination and further laboratory analysis were collected from each different proglacial sediment in the profile. Macroscopic characterisation in the field was carried out in accordance with standards <span><span>PN-EN ISO 14688-1 and PN-EN ISO 14688-2 introduced into the catalogue of Polish Standards in 2006 and are cited in PN-EN 1997-2:2009, known as Eurocode 7: Geotechnical engineering design - Part 2: Identification and investigation of soils.<br></span></span></span><span><span><span>More information on the data acquisition methodology is included in the publication (same title) or can be obtained through the contact provided.</span></span></span></p>
Fig. 4 in Is parasite load dependent on host aggregation size? The case of the greater mouse-eared bat Myotis myotis (Mammalia: Chiroptera) and its parasitic mite Spinturnix myoti (Acari: Gamasida)
Fig. 4 Relationship between the size of bat maternity aggregation (a), percentage of forest cover (b), body condition index (c), and parasite infection of the examined bats in the Carpathians Mountains (2007).
Fig. 1 in Is parasite load dependent on host aggregation size? The case of the greater mouse-eared bat Myotis myotis (Mammalia: Chiroptera) and its parasitic mite Spinturnix myoti (Acari: Gamasida)
Fig. 1 Distribution of greater mouse-eared bat (Myotis myotis) maternity aggregations (grey circles) and single founding individuals (black dots) in the Beskids (Carpathian Mountains, Poland). Data pooled from Kozakiewicz (2003), Szkudlarek et al. (2008), and our data. For the investigated maternity colonies, forested areas within a 10-km radius is shown
Fig. 3 in Is parasite load dependent on host aggregation size? The case of the greater mouse-eared bat Myotis myotis (Mammalia: Chiroptera) and its parasitic mite Spinturnix myoti (Acari: Gamasida)
Fig. 3 Proportions of protonymph (PN), deutonymph (DN), and adult (AD) stages of S. myoti mites, collected from Myotis myotis (bars), and the sex ratios of deutonymph and adult mites (circles)
Fig. 2 in Is parasite load dependent on host aggregation size? The case of the greater mouse-eared bat Myotis myotis (Mammalia: Chiroptera) and its parasitic mite Spinturnix myoti (Acari: Gamasida)
Fig. 2 Micrograph of the adult female Spinturnix myoti, dorsal view. Scanning electron microscopy image, original magnification ×40
Datasets for sandboxing use case SUC3 corresponding to cyber attacks affecting the differential protection scheme of a HV transformer
<p><span>These datasets reflect two main scenarios (S1-S2) associated to the operation of a sandboxing use case SUC3 corresponding to cyber attacks affecting the differential protection scheme of a HV transformer. Details about are illustrated in Section 1.3 of the supporting document. These scenarios analyse the operation of the digital twin of the IEEE 9-bus system and the differential protection scheme under healthy conditions, cyber-attack on communication channels of IEC 61850 Sample Values (SVs) protocol, and a fault in HV side of a transformer in the power system. The scenarios are presented with selected time-series plots in Section 1.3, accompanied a detailed analysis of the processes included and an impact assessment. Thus, d</span><span>uring execution of each scenario, data such as electrical measurements were captured and are collected</span> in the form of the datasets presented here.</p> <p>Specifically, </p> <ul> <li>SUC3/S1 <strong>Differential protection operation during transformer fault</strong> corresponds to the dataset of first scenario (S1) of the third sandboxing use case (SUC3) of the KIOS CoE Sandboxing for cyber-physical analysis of EPES, which examines the operation of differential protection scheme (implemented in Typhoon controller) for a HV/MV transformer. The protection scheme receives data sent through IEC 61850 SVs from the two sides of the transformer. Specifically, this dataset corresponds to the first scenario (S1) of SUC3, where a short-circuit occurred on the HV side of a HV/MV transformer of the system. More details about the scenario related to this dataset can be found in Section 1.3.1 of the supporting document. This dataset includes electrical measurements of the current flow, in RMS and sinusoidal format, from the HV and MV sides of HV/MV transformer of the digital twin of the IEEE 9-bus system. The dataset is provided in the form of time-series measurements available as MATLAB (.mat) and CSV files which were recorded with a 30-second and 40-second time resolution, respectively. The measurements of RMS values were recorded by the Typhoon controller, while the sinusoidal measurements were recorder by OPAL-RT.</li> <li>SUC3/S2 <strong>MITM with FDI cyber-attack in the SVs of HV transformer side</strong> corresponds to the dataset of the second scanario (S2) of the third sandboxing use case (SUC3) of the KIOS CoE Sandboxing for cyber-physical analysis of EPES, which examines a MITM with FDI cyber-attack is conducted on the measurements of the HV side of the transformer, virtually implemented within the sandboxing, and introduces a multiplicative change to the current measurements before they are received by the differential protection scheme via IEC 61850 protocol. Section 1.3.1 of the supporting document provides more details about the scenario related to this<br>dataset. This dataset includes electrical measurements of the current flow, in RMS and sinusoidal format, from the HV and MV sides of HV/MV transformer of the digital twin of the IEEE 9-bus system. The dataset is provided in the form of time-series measurements available as MATLAB (.mat) and CSV files which were recorded with a 30-second and 40-second time resolution, respectively. The measurements of RMS values were recorded by the Typhoon controller, while the measurements from the sine waves were recorder by OPAL-RT.</li> </ul>
Fig. 2 in Wild pigs as sentinels for hard ticks: A case study from south-central Florida
Fig. 2. Mean intensity of infestation of adult ticks collected from wild pigs from May 22, 2015 to May 09, 2017. Ticks which could not be identified to species were excluded from this figure. Values of zero indicate that wild pigs were sampled during that month, but no adults of the indicated species were collected.
Fig. 4 in Wild pigs as sentinels for hard ticks: A case study from south-central Florida
Fig. 4. Estimated mean density of host-seeking ticks per 10 m 2 by life stage and habitat type with 95% confidence intervals shown as vertical bars. Numerical values for the estimated mean densities and 95% confidence intervals are reported in Table S5.
Fig. 1 in Wild pigs as sentinels for hard ticks: A case study from south-central Florida
Fig. 1. Location of Buck Island Ranch, Lake Placid, Florida denoted by blue circle. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 3 in Wild pigs as sentinels for hard ticks: A case study from south-central Florida
Fig. 3. Average density of adults collected by dragging from May 14, 2015 to August 29, 2017. Values of zero indicate that drags were conducted during that month in the specified habitat, but no adults of the indicated species were collected. Symbol colors denote habitat and symbol shapes denote tick species. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 2 in A new case of facultative paedomorphosis in Smooth Newts, Lissotriton vulgaris (Caudata: Salamandridae), in Turkey
Fig. 2. The general view of habitat (A) and a male paedomorphic Lissotriton vulgaris (B, C) from Lake Sazlı (Izmir, Turkey). The arrows show the cloaca (B) and the gills (C).
Fig. 8 in The Caribbean intertidal mite Alismobates inexpectatus (Acari, Oribatida), an unexpected case of cryptic diversity?
Fig. 8 Graph highlighting results of Non-metric Multidimensional Scaling (NMDS) and Linear Discriminant Analysis (LDA) performed on size corrected data of seven Caribbean Alismobates inexpectatus populations. Slightly coloured and framed areas refer to geographic regions: Northern Caribbean = Bermuda, Florida, Bahamas; Antilles = Barbados, Dominican Rep.; Central America = Costa Rica, Panama
Fig. 5 in The Caribbean intertidal mite Alismobates inexpectatus (Acari, Oribatida), an unexpected case of cryptic diversity?
Fig. 5 Mantel test for COI data of Caribbean Alismobates species with correlation coefficient (r), showing the correlation of genetic and geographic distances
Fig. 3 in The Caribbean intertidal mite Alismobates inexpectatus (Acari, Oribatida), an unexpected case of cryptic diversity?
Fig. 3 Haplotype networks based on COI sequences of A. inexpectatus populations from the Bahamas and Bermuda. Each circle corresponds to one haplotype and its size is proportional to its frequency. The number of mutations is indicated as hatch marks. Small black
Fig. 1 in The Caribbean intertidal mite Alismobates inexpectatus (Acari, Oribatida), an unexpected case of cryptic diversity?
Fig. 1 Maximum likelihood tree (IQ-tree) inferred from a concatenated dataset of COI and 18S rRNA gene fragments. Numbers at nodes represent Bayesian posterior probability values (shown> 0.85) and bootstrap values (shown> 80) for ML. Sequences marked with an * were taken from GenBank
Fig. 2 Micromorphological differences between Drepanocladus longifolius and D in Do Antarctic populations represent local or widespread phylogenetic and ecological lineages? Complicated fate of bipolar moss concepts with Drepanocladus longifolius as a case study
Fig. 2 Micromorphological differences between Drepanocladus longifolius and D. capillifolius. Alar cells of D. longifolius a, b—from Lyall 47, Falkland Islands. Alar cells of D. capillifolius c―from Nelson 4262, USA, Wyoming (KRAM), d―from isolectotype of Hypnum capillifolium var. fallax Renauld, Canada, Quebec. Scale bar 100 μm
Fig. 1 in Do Antarctic populations represent local or widespread phylogenetic and ecological lineages? Complicated fate of bipolar moss concepts with Drepanocladus longifolius as a case study
Fig. 1 Geographical distribution of the studied accessions and detected genetic lineages corresponding to Drepanocladus longifolius (blue dots) and D. capillifolius (green triangles) according to present circumscription.
Entice Optimisation Data for FlexiOPS Use Case
<p>The optimisation data for the project Entice shows the metrics gathered by FlexiOps in their use case. These measurements were taken in the Flexiant Cloud Orchestrator platform and shows how the Entice software optimises virtual machine images and reduces them considerably in size.</p>
Name Size Figure 4.2. Ratio of male to female participants-The Effects of CALL on Vocabulary Learning: A Case of Iranian Intermediate EFL Learners
<p>In the past, vocabulary teaching and learning were often given little priority in second<br> language programs but recently there has been a renewed interest in the nature of vocabulary and its<br> role in learning and teaching. Although most teachers might be aware of the importance of<br> technology, say, computer, rarely teachers use it for teaching vocabulary. Thus, the current study<br> aims at exploring the effects of CALL on vocabulary learning of Iranian EFL Learners. In this<br> study, 40 intermediate EFL learners, both male and female aged from 16 to 18 studying New<br> Interchange, book III, were chosen randomly from a language institute in Tehran. They were divided<br> into two twenty-member groups. The experimental group was given the VTS.S (a computer<br> program for teaching vocabularies), a computerized dictionary and provided with teacher efeedback.<br> The control group received no special software and vocabularies were taught using the<br> conventional ways with the help of a paper dictionary.</p>
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.