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Fig. 1 in Arganiella Giusti & Pezzoli, 1980 (Caenogastropoda: Truncatelloidea: Hydrobiidae): a widespread genus or several narrow-range endemic genera?
Fig. 1. Maximum likelihood tree based on the combined (COI, 18S) dataset. Statistical support of the nodes is indicated when Bayesian posterior probabilities ≥ 0.95 and bootstrap supports ≥ 75% (black dots). On the right, the morphology of shell, penis and distal female genitalia is presented for: a) Arganiella wolfi Boeters & Glöer, b) A. pescei Giusti & Pezzoli, 1980 and c) A. tabanensis Boeters, Glöer & Pešić, 2014. Reproductive organs were re-drawn from Arconada & Ramos (2007a), Bodon et al. (2001) and Boeters et al. (2014) for the three species, respectively. Scale bar below topology: substitutions per site.
Astroclimate measurements on several points over Eastern hemisphere in 2-mm and 3-millimeter atmospheric transparency windows using tipping radiometer
<p>We are presenting results of the atmospheric propagation observations which our research group has been conducting since 2012. Over this time, we have gathered statistical data of atmospheric propagation over a number of sites which possibly can be used for radio astronomical observations in the millimetre and sub-millimetre bandwidths. The Zenith opacity was studied by the atmospheric dip method in the 3 mm and 2 mm atmospheric windows. The dataset is recommended to use for estimation of atmospheric propagation for the purpose of radio astronomy and telecommunications.</p> <p>The “tau-meter” (named MIAP-2) allows us to estimate an integral absorption by using the atmospheric dip method. The hardware includes a radiometric system comprising two self-contained radiometers operating in two different bands of 84-99 GHz (λ ~ 3 mm) and 132-148 GHz (λ ~ 2 mm), a rotary support, a control, and a firmware system. The radiometers work in modulation mode within 36 Hz modulation frequency. Floating mirror allows radiometer to scan the sky in the interval of 0 – 88.5 elevation angles (6 total). The output record contains the voltages of synchronous detector for each angle in 2 wavebands. The voltage is proportional to brightness temperature of the sky in corresponding waveband. (It has negative value for technical reasons.)</p> <p>The dataset contains raw data observed by radiometer: Local date and time, a several detector voltages on different elevation angles for 2 wavebands, as well as service information header. The first 6 columns contain optical depth calculated by old method and it’s no more used in data processing since the new algorithm has been invented in 2018.</p>
Data for: Brood parasitism of Hooded Warblers by Brown-headed Cowbirds: Severe impact on individual nests but modest consequences for seasonal fecundity and conservation
<div> <div> <div> <div> <p>Brood parasitism by Brown-headed Cowbirds (<em>Molothrus ater</em>) often has pronounced negative effects on host nests. However, the extent to which parasitism reduces annual reproduction and presents conservation challenges for host species is unclear. We address this issue with data from a color-banded population of Hooded Warblers (<em>Setophaga citrina</em>) in Pennsylvania, where Hooded Warblers have increased dramatically despite frequent nest parasitism. Our analysis is based on both an extensive dataset (8 years, 847 nests) on the per-nest impacts of cowbird parasitism, and female-based stochastic simulations that accurately reflect the reproductive biology and parasitism rate (30%) of our study population. Cowbird parasitism has multiple negative consequences for Hooded Warbler nests, including: (1) reduced host clutch size, (2) increased nest abandonment, (3) increased risk of complete failure due to predation, and (4) in surviving nests increased egg loss, hatching failure, and nestling mortality. We estimate that parasitism reduces success of Hooded Warbler nests 68%, from 1.29 to 0.41 fledglings per nest. For females and populations, however, the consequences of nest parasitism are considerably less extreme; female annual fecundity decreases 25% for each nesting attempt parasitized, and population-level fecundity drops 5.6% for each 10% increase in the frequency of parasitism. These more modest impacts are attributable to: (1) steep declines in rates of cowbird parasitism as the nesting season progresses, (2) rapid re-nesting following abandonment or failure of parasitized nests, and (3) regular double brooding, with second broods initiated in late June and July when the incidence of cowbird parasitism is low. Our results help resolve the paradox of how cowbird parasitism can have both severe consequences for individual host nests but more modest and sustainable conservation impacts on the seasonal fecundity of females and populations. They further underscore the importance of determining population-level effects of brood parasites before investing in costly management efforts.</p> </div> </div> </div> </div>
Adeno-associated virus type 2 in children from the United States with acute severe hepatitis
<p>This repository contains the metadata and code used in the analysis of the manuscript, <em>Adeno-associated virus type 2 in children from the United States with acute severe hepatitis.</em></p>
Data and code for "increasing aridity causes larger and more severe forest fires across Europe"
<p>### Data and code for "increasing aridity causes larger and more severe forest fires across Europe"</p> <p>This repository holds code and data for the publication in GCB entitled: Increasing aridity causes larger and more severe forest fires across Europe (manuscript accepted)</p> <p> </p> <p># scripts</p> <p>all scripts are in the folder "lib". In order to perform the full analysis, please follow through all scripts.<br> we provide the results of some steps in order to reduce runtime for the user. we indicate this in the headings of the scripts.</p> <p>1. in the first script we prepare the ERA5-Land data. The code for the download is provided.<br> The user needs a CDS API for downloading.</p> <p>2. the data from the ERA5-Land summer VPD is extracted for the fire complexes</p> <p>3. calculation of the maximum fire size to total burned area relationship</p> <p>4. the models are calibrated and compared. In this script the figure 3 and 4 are created </p> <p>5. preparation of the future climate dataset. Again, the script for the download is provided but the user needs an API.</p> <p>6. Extraction of the CMIP6 VPD.</p> <p>7. Future climate analysis</p> <p>8. Plotting of all figures that were not done in the previous scripts</p> <p><br> # data</p> <p>climate: we provide the climate grid. all other climate data can be downloaded following the instructions within the scripts.</p> <p>complexes: we provide the fire complexes of each country. This data contains all information needed for the analysis including year, size, severity and polygon information. The complexes are based on the data from Senf & Seidl, 2021 (https://doi.org/10.1038/s41893-020-00609-y) which can be downloaded here: https://doi.org/10.5281/zenodo.7080016</p> <p>countries: we provide the shapefiles of each country and Europe that are needed for the analysis in this folder.</p> <p>ecoregions: Olson et al. terrestrial ecosystems should be downloaded from: https://www.arcgis.com/home/item.html?id=be0f9e21de7a4a61856dad78d1c79eae</p> <p>models: we provide all final models used for the analysis.</p> <p>results: we provide the results of the individual steps. This should help to reduce the runtime for the user.</p> <p> </p> <p># additional information</p> <p>R version 3.6.3 (2020-02-29)<br> Platform: x86_64-pc-linux-gnu (64-bit)<br> Running under: Ubuntu 18.04.5 LTS</p>
Genome wide scan of Orthomam for associations to several phenotypes
<p>Scan results of the Orthomam database using Pelican, including predictions at the level of sites and their aggregation at the level of genes.</p> <p>Annotation of the Orthomam phylogeny is provided for each phenotype under consideration :</p> <ul> <li>echolocation</li> <li>diurnality/nocturnality</li> <li>aquatic environment</li> <li>marine environment</li> <li>subterranean environment</li> <li>vocal learning</li> <li>domestication</li> <li>diet (herbivore/carnivore/omnivore)</li> </ul>
Data for: Frond orientations with independent current indicators demonstrate the reclining rheotropic mode of life of several Ediacaran rangeomorph taxa
<p>Fossils from the deep-sea Ediacaran biotas of Newfoundland are among the oldest architecturally complex soft-bodied macroorganisms on Earth. Most organisms in the Mistaken Point-type biotas of Avalonia — particularly the fractal-branching frondose Rangeomorpha — have been traditionally interpreted as living erect within the water column during life. However, due to the scarcity of documented physical sedimentological proxies associated with fossiliferous beds, Ediacaran paleocurrents have been inferred in some instances from the preferential orientation of fronds. This calls into question the relationship between frond orientation and paleocurrents. In this study, we present an integrated approach from a newly described fossiliferous surface (the "Melrose Surface" in the Fermeuse Formation at Melrose, on the southern portion of the Catalina Dome in the Discovery UNESCO Global Geopark) combining: (1) physical sedimentological evidence for paleocurrent direction in the form of climbing ripple cross lamination, and (2) a series of statistical analyses based on modified polythetic and monothetic clustering techniques reflecting the circular nature of the recorded orientation of <em>Fractofusus</em> <em>misrai</em> specimens. This study demonstrates the reclining rheotropic mode of life of the Ediacaran rangeomorph taxon <em>Fractofusus</em> <em>misrai</em> and presents preliminary inferences suggesting a similar mode of life for <em>Bradgatia</em> sp. and <em>Pectinifrons</em> <em>abyssalis</em> based on qualitative evidence. These results advocate for the consideration of an alternative conceptual hypothesis for the position of life of Ediacaran organisms in which they are interpreted as having lived reclined on the seafloor, in the position that they are preserved.</p>
Text-fig. 47. Synchrotron radiation X-ray tomographic microscopy (SRXTM) images of "One-seeded fruit sp. 1"; Catefica locality, Portugal. a, b) Lateral view of fruits showing slightly sinuous ventral margin and the curved stalk; c, d) Longitudinal sections perpendicular to each other through the median part of fruit and its single seed (c, orthoslice yz0652, d, xz0739) showing the bitegmic seed closely adhering to the fruit wall (fw); the several cell layer thick outer integument (oi) and the membranous inner integument (ii); note the vascular bundle (vb) branching into a dorsal and lateral bundle near the base of the fruit; e) Transverse section (orthoslice xy0600) showing fruit wall (fw) and outer (oi) and inner (ii) integuments of the seed; f) Longitudinal section (orthoslice yz0871) through the micropylar region showing micropyle (mi) formed from membranous inner integument (ii). Specimens, Catefica 49-S174927 (a), Catefica 49-S174923 (b, f), Catefica 49-S174769 (c–e). Scale bars = 300 Μm (a–d), 100 Μm (e, f). in The Early Cretaceous Mesofossil Flora Of Catefica, Portugal: Angiosperms
Text-fig. 47. Synchrotron radiation X-ray tomographic microscopy (SRXTM) images of "One-seeded fruit sp. 1"; Catefica locality, Portugal. a, b) Lateral view of fruits showing slightly sinuous ventral margin and the curved stalk; c, d) Longitudinal sections perpendicular to each other through the median part of fruit and its single seed (c, orthoslice yz0652, d, xz0739) showing the bitegmic seed closely adhering to the fruit wall (fw); the several cell layer thick outer integument (oi) and the membranous inner integument (ii); note the vascular bundle (vb) branching into a dorsal and lateral bundle near the base of the fruit; e) Transverse section (orthoslice xy0600) showing fruit wall (fw) and outer (oi) and inner (ii) integuments of the seed; f) Longitudinal section (orthoslice yz0871) through the micropylar region showing micropyle (mi) formed from membranous inner integument (ii). Specimens, Catefica 49-S174927 (a), Catefica 49-S174923 (b, f), Catefica 49-S174769 (c–e). Scale bars = 300 Μm (a–d), 100 Μm (e, f).
Text-fig. 13. Scanning electron microscope (SEM) images of "Staminate inflorescence fragment with Clavatipollenites-type pollen sp. 4"; Catefica locality, Portugal. a) Fragment of stamen whorl from staminate inflorescence showing several closely packed, almost sessile stamens that lack a well-developed filament; b, c) Distal and proximal views of pollen grains showing poorly defined aperture with verrucate aperture membrane; d) Detail of pollen wall showing the semitectate-reticulate tectum and long, scattered columellae supporting the narrow muri with finely verrucate supratectal ornamentation. Specimen, Catefica 49-S107782 (a–d). Scale bars = 600 Μm (a), 6 Μm (b, c), 1.5 Μm (d). in The Early Cretaceous Mesofossil Flora Of Catefica, Portugal: Angiosperms
Text-fig. 13. Scanning electron microscope (SEM) images of "Staminate inflorescence fragment with Clavatipollenites-type pollen sp. 4"; Catefica locality, Portugal. a) Fragment of stamen whorl from staminate inflorescence showing several closely packed, almost sessile stamens that lack a well-developed filament; b, c) Distal and proximal views of pollen grains showing poorly defined aperture with verrucate aperture membrane; d) Detail of pollen wall showing the semitectate-reticulate tectum and long, scattered columellae supporting the narrow muri with finely verrucate supratectal ornamentation. Specimen, Catefica 49-S107782 (a–d). Scale bars = 600 Μm (a), 6 Μm (b, c), 1.5 Μm (d).
Text-fig. 19. Synchrotron radiation X-ray tomographic microscopy (SRXTM, a–c) of Aristospermum huberi and scanning electron microscope (SEM, d, e) images of Choffaticarpus compactus; Catefica locality, Portugal. a) Volume rendering of strongly flattened, triangular seed with pointed micropylar region; note thin-walled cells of outer integument preserved along the margins of the seed and pitted surface of the crystalliferous inner cells of outer integument where the outer cells are abraded and the narrow, lateral funicle/raphe; b) Volume rendering of seed showing surface of inner integument (endotesta) with cells showing clear imprints of crystals (arrows); c) Longitudinal section (orthoslice yz0241) of seed showing crystalliferous cells of endotesta (white arrows) and the two fiber layers of the tegmen that are perpendicular to each other (inner integument, ii-f, black arrows); d) Fragment of multiparted, apocarpous fruiting structure showing several helically-arranged, laterally flattened, fruitlets; e) Fruitlet in lateral view showing the prominent ventral face with its lateral groove, short attachment scar, and sunken regions of the fruit wall that indicate the probable presence of oil cells. Specimens, Catefica 49-S266049 (a–c), Catefica 49-S172558 (d), Catefica 49-S118675 (e). Scale bars = 300 Μm (a, c–e), 100 Μm (b). in The Early Cretaceous Mesofossil Flora Of Catefica, Portugal: Angiosperms
Text-fig. 19. Synchrotron radiation X-ray tomographic microscopy (SRXTM, a–c) of Aristospermum huberi and scanning electron microscope (SEM, d, e) images of Choffaticarpus compactus; Catefica locality, Portugal. a) Volume rendering of strongly flattened, triangular seed with pointed micropylar region; note thin-walled cells of outer integument preserved along the margins of the seed and pitted surface of the crystalliferous inner cells of outer integument where the outer cells are abraded and the narrow, lateral funicle/raphe; b) Volume rendering of seed showing surface of inner integument (endotesta) with cells showing clear imprints of crystals (arrows); c) Longitudinal section (orthoslice yz0241) of seed showing crystalliferous cells of endotesta (white arrows) and the two fiber layers of the tegmen that are perpendicular to each other (inner integument, ii-f, black arrows); d) Fragment of multiparted, apocarpous fruiting structure showing several helically-arranged, laterally flattened, fruitlets; e) Fruitlet in lateral view showing the prominent ventral face with its lateral groove, short attachment scar, and sunken regions of the fruit wall that indicate the probable presence of oil cells. Specimens, Catefica 49-S266049 (a–c), Catefica 49-S172558 (d), Catefica 49-S118675 (e). Scale bars = 300 Μm (a, c–e), 100 Μm (b).
Output of several experiments with Fenics_ice over Smith, Pope, and Kohler Glaciers
<p>Output of several experiments with <a href="https://github.com/EdiGlacUQ/fenics_ice">Fenics_ice</a> over Smith, Pope, and Kohler Glaciers. The code to produce this output can be found in the following repository; <a href="https://github.com/bearecinos/smith_glacier">Smith_glacier</a></p> <p>More information on how to read and plot this data can be found in the smith glacier repository <a href="https://github.com/bearecinos/smith_glacier/wiki">wiki</a>: </p> <p>Citation for the smith glacier repository used to produce this data:</p> <pre>https://zenodo.org/badge/latestdoi/101511241</pre> <p>Citation for the Fenics_ice version used to produce this data:</p> <pre>https://zenodo.org/badge/latestdoi/417440075</pre> <p> </p>
Spatial transcriptomics stratifies health and psoriatic disease severity by emergent cellular ecosystems
<p>While human inflammatory skin diseases' cellular and molecular features are well-characterized, their tissue context and systemic impact remain poorly understood. We thus profiled human psoriasis (PsO) as a prototypic immune-mediated condition with a high preference for extra-cutaneous involvement. Spatial transcriptomics (ST) analyses of 25 healthy, active, and clinically uninvolved skin biopsies, and integration with public single-cell transcriptomics data revealed striking differences in immune microniches between healthy and inflamed skin. Tissue scale-cartography further identified core disease features across all active lesions, including the emergence of an inflamed suprabasal epidermal state and the presence of B lymphocytes in lesional skin. Notably, both lesional and distal non-lesional samples were stratified by skin disease severity, and not by the presence of systemic disease. This segregation was driven by macrophage-, fibroblast- and lymphatic-enriched spatial regions with gene signatures associated with metabolic dysfunction. Taken together, these findings suggest that mild and severe forms of PsO have distinct molecular features and that severe PsO may profoundly alter the cellular and metabolic make up of distal unaffected skin sites. Additionally, our study provides an unprecedented resource for the research community to study spatial gene organization of healthy and inflamed human skin. </p>
Datasets for article Effect of disease prevalence and growth stage on symptoms severity in the Turnip mosaic virus - Arabidopsis thaliana pathosystem
<p>Plants generate volatile organic compounds (VOCs) in response to biotic and abiotic stimuli that provide information about the physiological status of emitters to other individuals in the community. Nearby receivers adjust their own defenses in response to these chemical cues. The majority of studies to date has concentrated on the communication of abiotic stressors (<em>e.g</em>. salinity or drought) or herbivory. Less attention had received the role of VOCs during microbial infections and almost nothing has been done for viruses. Here we investigated the function of VOCs during turnip mosaic virus infection of <em>Arabidopsis thaliana</em>. First, we looked at the influence of two factors on the kinetics of symptoms progression in receivers, namely the prevalence of infection in the population and the growth stage of the receiver plants at inoculation. We found that young plants were more sensitive to the protective effect of VOCs than older ones, and that high infection prevalence results in a slower disease progression in receivers. Second, we looked into the possibility that jasmonates could be VOC candidates. To do this, we examined the kinetics of symptoms progression in jasmonate-insensitive and wild-type plants, and the results showed that the protective effect vanished in the mutant plants. Third, we investigated the possibility that root communication would be also relevant. Our findings showed that the kinetics of symptom progression across receivers was further slowed down when plants were housed in the same pot. Together, our preliminary findings point to a potential function for disease prevalence in plant communities in regulating the severity of symptoms, this effect being mediated by VOCs.</p>
Where should they come from? Where should they go? Several measures of seed source locality fail to predict plant establishment in early prairie restorations
<ol> <li>During the "decade on restoration," we must understand how to reliably re-establish native plant populations. When establishing populations through seed addition, practitioners prioritize obtaining seed from locations geographically near the restoration site (i.e., "local seed sourcing"). They are assumed to be under similar environmental conditions to the restoration site and should establish more robust plant populations and preserve local biotic interactions than seeds sourced from further away. However, this assumption remains virtually untested in realistic restoration settings and the importance of seed sourcing, relative to other factors such as seeding rate and management regimes, is unclear.</li> <li>To determine if seed source impacts plant establishment, abundance, and phenology, we developed a partnership between university researchers and a native seed producer that kept records on where their seed was sourced from and where it was planted. At each site, we recorded the abundance and phenological stage of five commonly used tallgrass prairie restoration species seeded at 24 sites undergoing restoration across Michigan. We considered two measures of seed source locality: geographic distance (seeds were sourced from locations 6–750km away from their respective restoration sites) and climate distance. We also obtained data on the seeding rate and post-seeding management efforts at each site.</li> <li>We found that no measure of seed source locality predicted the likelihood of plant establishment or abundance at restoration sites. However, sites sown with seed from further away, or from cooler and wetter climates, had a greater proportion of flowering individuals earlier in the season. Finally, sites with higher seeding rates had greater plant abundance, and post-seeding management of the restoration site increased the likelihood a species would establish by 36%.</li> <li>Overall, these results suggest that seed sourcing did not impact plant establishment or abundance in our system. However, using fewer local seed sources can alter flowering phenology.</li> <li>Our results suggest that tallgrass prairie restoration efforts should prioritize higher seeding rates, post-seeding management, and might expand the region seed sources are considered "local", though this could impact flowering phenology. Future research leveraging native seed producer records can help answer critical questions about restoration seed sourcing.</li> </ol>
Effects of nurse shrubs and biochar on planted conifer seedling survival and growth in a high-severity burn patch in New Mexico, USA
<p>The synergistic effects of widespread high-severity wildfire and anthropogenic climate change are driving large-scale vegetation conversion. In the southwestern United States, areas that were once dominated by conifer forests are now shrub- or grasslands after high-severity wildfire, an ecosystem conversion that could be permanent without human intervention. Yet, the reforestation of these landscapes is rarely successful, with a mean planted seedling survival of just 25 %. Given these low rates, we carried out a planting experiment to quantify the impacts of biochar as a soil amendment and shrubs as nurse plants on planted conifer seedling survival and growth following high-severity wildfire. We planted 1200 seedlings of three species (<em>Pinus</em> <em>ponderosa</em>, <em>P. strobiformis</em>, and <em>Pseudotsuga</em> <em>menziesii</em>) in a 2-ha area within the footprint of the Las Conchas fire in New Mexico, USA. We used four treatments: under shrubs, or in the open and with or without biochar in a full-factorial design. We found that planting tree seedlings underneath shrubs increased tree seedling survival by 46 % after 3 years, with some marginal evidence that shrubs inhibited seedling diameter growth (mean <em>R<sup>2</sup></em> = 0.08). The addition of biochar increased seedling survival by 11 % but had no effect on seedling growth. Our study suggests that planted seedling survival in post-wildfire areas can be increased by planting under shrubs in soil amended with biochar. The widespread adoption of these methods may improve the success rates of post-wildfire reforestation efforts in semi-arid areas, regaining some of the ecosystem services lost to high-severity wildfire.</p>
5G-EMIT Project: EMF measurements of 2G/3G/4G/5G frequency bands captured with a MVG EME Spy Evolution sensor while driving in LOS and NLOS to several antennas through Luxembourg-Hollerich and Luxembourg Center, Luxembourg (2022-08-25)
<p>During the 5G-EMIT project, EMF measurements of relevant mobile frequency bands have been taken at various sites around known antennas.</p> <p>Focus was in measuring the the following standard frequency bands:</p> <ul> <li>5G 700 <ul> <li>Band 28 FDD down</li> <li>758 - 803 MHz (Luxembourg: 758 - 788 MHz)</li> </ul> </li> <li>LTE 800 <ul> <li>Band 20 FDD down<br> 791 - 821 MHz</li> </ul> </li> <li>GSM 900 <ul> <li>Band 8 FDD down</li> <li>925 - 960 MHz</li> </ul> </li> <li>GSM/LTE 1800 <ul> <li>Band 3 FDD down</li> <li>1805 - 1880 MHz</li> </ul> </li> <li>UMTS 2100 <ul> <li>Band 1 FDD down</li> <li>2110 - 2170 MHz</li> </ul> </li> <li>LTE 2600 <ul> <li>Band 38 TDD</li> <li>2570 - 2620 MHz</li> </ul> </li> <li>LTE 2600 <ul> <li>Band 7 FDD down</li> <li>2620 - 2690 MHz</li> </ul> </li> <li>5G 3500 <ul> <li>Band 78 TDD</li> <li>3300 - 3800 MHz (Luxembourg: 3400 - 3800 MHz)</li> </ul> </li> </ul> <p><br> Two sensor have been used: The MVG EME Spy Evolution and a sensor developed by IMEC/University of Ghent.</p> <ul> <li>The MVG Spy Evolution sensor is able to measure all of the requested frequency bands as defined by the standard.</li> <li>The IMEC/University of Ghent sensor is only able to measure the LTE 800, GSM 900, GSM/LTE 1800 bands as defined by the standard.<br> In the 5G 3500 band it is only able to measure the range of 3550-3700 MHz (3465-3785 MHz within a -5db response).</li> </ul> <p>The datasets of the ZIP file has following structure:</p> <ul> <li>measurements: <ul> <li>the files of the measurements as provided by the sensor or application</li> <li>combined file of measurements in case the measurements have been split into several parts</li> <li>potentially analysis files of the measurements </li> </ul> </li> <li>pictures: <ul> <li>pictures of the antennas</li> <li>pictures of the sensor</li> <li>pictures of the location of the sensor</li> </ul> </li> <li>- Readme.txt: <ul> <li>Used time-zone in the tables</li> <li>Used units in the tables</li> <li>Calculation of the total values in the tables</li> <li>Used labels of the the frequency bands</li> <li>Used sensor (MVG EME Spy Evolution or IMEC/University of Ghent)</li> <li>Locations of the target antennas</li> <li>Potentially location of the fixed sensor</li> </ul> </li> </ul>
5G-EMIT Project: EMF measurements of 2G/3G/4G/5G frequency bands captured with a MVG EME Spy Evolution sensor while walking in LOS and NLOS to several antennas through Luxembourg Center, Luxembourg (2023-04-06)
<p>During the 5G-EMIT project, EMF measurements of relevant mobile frequency bands have been taken at various sites around known antennas.</p> <p>Focus was in measuring the the following standard frequency bands:</p> <ul> <li>5G 700 <ul> <li>Band 28 FDD down</li> <li>758 - 803 MHz (Luxembourg: 758 - 788 MHz)</li> </ul> </li> <li>LTE 800 <ul> <li>Band 20 FDD down<br> 791 - 821 MHz</li> </ul> </li> <li>GSM 900 <ul> <li>Band 8 FDD down</li> <li>925 - 960 MHz</li> </ul> </li> <li>GSM/LTE 1800 <ul> <li>Band 3 FDD down</li> <li>1805 - 1880 MHz</li> </ul> </li> <li>UMTS 2100 <ul> <li>Band 1 FDD down</li> <li>2110 - 2170 MHz</li> </ul> </li> <li>LTE 2600 <ul> <li>Band 38 TDD</li> <li>2570 - 2620 MHz</li> </ul> </li> <li>LTE 2600 <ul> <li>Band 7 FDD down</li> <li>2620 - 2690 MHz</li> </ul> </li> <li>5G 3500 <ul> <li>Band 78 TDD</li> <li>3300 - 3800 MHz (Luxembourg: 3400 - 3800 MHz)</li> </ul> </li> </ul> <p><br> Two sensor have been used: The MVG EME Spy Evolution and a sensor developed by IMEC/University of Ghent.</p> <ul> <li>The MVG Spy Evolution sensor is able to measure all of the requested frequency bands as defined by the standard.</li> <li>The IMEC/University of Ghent sensor is only able to measure the LTE 800, GSM 900, GSM/LTE 1800 bands as defined by the standard.<br> In the 5G 3500 band it is only able to measure the range of 3550-3700 MHz (3465-3785 MHz within a -5db response).</li> </ul> <p>The datasets of the ZIP file has following structure:</p> <ul> <li>measurements: <ul> <li>the files of the measurements as provided by the sensor or application</li> <li>combined file of measurements in case the measurements have been split into several parts</li> <li>potentially analysis files of the measurements </li> </ul> </li> <li>pictures: <ul> <li>pictures of the antennas</li> <li>pictures of the sensor</li> <li>pictures of the location of the sensor</li> </ul> </li> <li>Readme.txt: <ul> <li>Used time-zone in the tables</li> <li>Used units in the tables</li> <li>Calculation of the total values in the tables</li> <li>Used labels of the the frequency bands</li> <li>Used sensor (MVG EME Spy Evolution or IMEC/University of Ghent)</li> <li>Locations of the target antennas</li> <li>Potentially location of the fixed sensor</li> </ul> </li> </ul>
Figure 2. A in First records of Lasiodiamesa gracilis (Kieffer, 1924), Parochlus kiefferi (Garrett, 1925) and several other Chironomidae from the Czech Republic and Slovakia
Figure 2. A spring close to Nová Klínovka chalet (in the background) in the eastern part of a meadow called Klínové Boudy, The Krkonoše Mountains National Park. Parochlus kiefferi sampling site (site nr. H11 in the List). Photographed during sampling 20 February 2015.
Figure 1 in First records of Lasiodiamesa gracilis (Kieffer, 1924), Parochlus kiefferi (Garrett, 1925) and several other Chironomidae from the Czech Republic and Slovakia
Figure 1. Radostínské rašeliniště National Nature Reserve, Lasiodiamesa gracilis sampling site (site nr. S15 in the List). Photograph taken during sampling 22 March 2015.
Supporting code and data for: Proportion of forest area burned at high-severity increases with increasing forest cover and connectivity in western US watersheds
<p>This is the R code and shapefiles of the coniferous HUC-12 watersheds and their western US boundary for the publication, "Proportion of forest area burned at high-severity increases with increasing forest cover and connectivity in western US watersheds" </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.