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13,017 results for “Positionning”
Data from publication: Castillioni, K., & Isbell, F. (2023). Early positive spatial selection effects of beta-diversity on ecosystem functioning. Landscape Ecology, 1-15.
Data from publication: Castillioni, K., & Isbell, F. (2023). Early positive spatial selection effects of beta-diversity on ecosystem functioning. Landscape Ecology, 1-15. Spatial beta-diversity may increase landscape productivity if there are positive spatial selection effects. Alternatively, dominant species in mixtures might not be the most productive species in monoculture leading to negative or neutral spatial selection effects. However, these hypotheses remain untested experimentally. Seedling survival can determine species establishment, influencing productivity later. To address this knowledge gap, we experimentally tested whether transplanted seedlings of dominant species optimally sort among habitat types (grassland dominated by Andropogon gerardii, savanna by Quercus macrocarpa, deciduous forest by Acer rubrum, coniferous forest by Pinus strobus, bog by Larix laricina), creating positive effects of landscape diversity on seedling survival and net biodiversity effects at Cedar Creek Ecosystem Science Reserve (CCESR) in Minnesota, USA. The study is named BetaDIV and consists of 100 plots (20 plots per habitat × 5 habitats). Each of the five habitats includes two true replicate monocultures for each of the five species and two true replicates for each of the five possible mixture compositions of four species (leaving each one out in turn to eventually explore the effect of species identity). Each plot is 1.5 by 1.5 m, with 12 seedlings planted 0.5 m apart in a 4 × 4 square grid, except in the plot corners. In the early June 2022, we tagged and planted all seedlings (i.e., bareroot seedlings for trees and plugs for the grass A. gerardii). Two weeks after the initial transplanting, we started tracking seedling survival (presented here) to investigate how seedlings responded to local habitat conditions. We conducted a seedling census for each of the 1200 tagged seedlings (12 seedlings per plot×100 plots), in early September 2022, which was two months at the end
Variation in the Composition of Understory Vegetation in a Tropical Rain Forest as a Function of Soil and Topographic Position. 1986 - 1990
Understory plants are a major contribution to the high plant species diversity of Neotropical rain forests. Shrubs, understory trees, saplings of overstory trees, and herbs occupy a habitat of generally low light levels and high humidity in which there seem to be few obvious mechanisms to support habitat partitioning. Moreover several plant families are characterized by a high number of co-occurring understory species. In 1987-1989 we sampled understory vegetation in 18 sites at the La Selva Biological Station of the Organization for Tropical Studies in Heredia Province, Costa Rica. At each site we used 20 nested quadrats to investigate the effects of soil type on replicated sites of mapped alluvial and residual volcanic soils (5 map units) and topographic positions (ridges, midslopes and flats) on composition, density and diversity of small (1m tall to 5cm dbh, 25 m2 quadrat) and large(5-10cm dbh, 100 m2 quadrat) understory plants. We also measured fine litter dry mass, extractable P, total organic matter, percent slope and percent incident light radiation in each quadrat.
Harvest data including the shoot leaf area index, position in the canopy, and shoot and plant tissue area, count and mass for each shoot harvested at three levels in the canopy from 19 1m x 1m plots near LTER Shrub plots, Toolik Field Station, AK 2012.
Leaf and plant tissue area and mass from shoots harvested from 19 1m x 1m point frame plots near Toolik Field Station, AK during the summer of 2012. Six shoots were harvested from each plot, two from each canopy layer: upper, middle, and low. Each shoot came from a different plant, and the species selected was based on the species dominant in that canopy layer. The leaf area and mass were used to correct A/Ci and light response curves taken on each shoot [data published separately]. At the time of collection, the location relative to the point frame, height, and leaf area index (LAI) of each shoot was measured; those data are included here.
SBC LTER: BEACH: Talitrid amphipod (Megalorchestia spp.) mean positions on spring and neap tides
These data describe the position of four burrowed talitrid amphipod species (Megalorchestia spp.) and unidentified juveniles surveyed on a spring tide and a neap tide in August 2016. The data table includes the counts of each species, including unidentified juveniles, from each core sample (1-30) on each transect (A-F). The distance of the sample from the bluff (0 m) is also given. The dataset is to support the journal article: Emery, KA, VR Kramer, NK Schooler, KM Michaud, JR Madden, DM Hubbard, RJ Miller, JE Dugan. 2021. Habitat partitioning by mobile intertidal invertebrates of sandy beaches shifts with the tides. Ecosphere.
Recording of a learner of the Dutch language reading a Dutch position paper about Open Science in the Netherlands
<p>This repo contains a recording I made of me reading the position paper "<a href="https://commons.wikimedia.org/wiki/File:283.002-Erkennen-en-Waarderen-Position-Paper_NL_web.pdf#%7B%7Bint%3Alicense-header%7D%7D">Ruimte voor ieders talent</a>" (<a href="https://commons.wikimedia.org/wiki/File:283.002-Erkennen-en-Waarderen-Position-Paper_EN_web.pdf#%7B%7Bint%3Afiledesc%7D%7D">Room for everyone's talent</a>) upon first contact, albeit after having read the accompanying post "<a href="https://www.scienceguide.nl/2019/11/erkennen-en-waarderen-moet/">Erkennen en waarderen in de wetenschap gaan drastisch veranderen</a>" by Sicco de Knecht, which provides a summary of the position paper and got me interested in knowing more. That post was not openly licensed, so my recording of reading it cannot be shared, but the position paper is available under the <a href="https://en.wikipedia.org/wiki/en:Creative_Commons">Creative Commons</a> <a href="https://creativecommons.org/licenses/by/3.0/nl/deed.en">Attribution 3.0 Netherlands</a> license, which thus also pre-determines the licensing of this recording of me reading it.</p> <p>The reason I am putting this out here is that I am interested in sharing knowledge in general, including the process of how it was acquired, which is usually not very visible, even if all the relevant teaching materials are available, which is getting more popular but still remains rare overall. For the same reasons, by the way, I am running a <a href="https://github.com/Daniel-Mietchen/learning2code">GitHub repo</a> about my progress in learning programming and querying languages.</p> <p>I have no training in Dutch but am a native speaker of German and fluent in English, through which I can understand Dutch texts fairly easily, and I have read a good number of them (including books but more frequently Wikipedia articles) silently over multiple years, which gave me some idea about how the language works.</p> <p>What is usually neglected when reading silently is pronunciation, e.g. while I passively know how numbers and letters are pronounced in Dutch, I normally read them in English or German when reading Dutch texts silently, since that is quicker and less effort for me, and most of the reading I do is to learn about content, not the respective languages.</p> <p>With the bit of extra time afforded by the present holiday period, I can give some more attention to the language part, and since the topic of the position paper (open science and how we need to adapt incentive structures in the research landscape around that) is one that I deeply care about, I could also imagine coming back to the text occasionally to track my progress over time.</p> <p>So if you are interested in the process of language acquisition or in second language acquisition (for me, though, Dutch is far from being second) and especially in open education or open science around these topics, I'd appreciate you getting in touch to learn from each other around how such materials can help me and others learn this language or anything else, and how the workflows around that could be streamlined.</p>
FIG. 10 in On the taxonomic position of Phaenomenella Fraussen & Hadorn, 2006 (Neogastropoda, Buccinoidea) with description of two new species
FIG. 10. — Anatomy of Siphonalia cassidariaeformis (Reeve, 1846): A, B; ventral (A) and dorsal (B) views of body of specimen no. 1, removed from the shell; C, cephalopodium of no. 2, front view; D, penis of no. 3; E, F, foregut of no. 1, with right salivary gland in original position (E) and removed (F); G, stomach of no. 2, external view; H, stomach of no. 1, opened dorsally; I, stomach of no. 2, opened dorsally. Abbreviations: see material and methods. Scale bars: A-F, 10 mm; G, I, 5 mm; H, 1 mm
FIG. 8 in On the taxonomic position of Phaenomenella Fraussen & Hadorn, 2006 (Neogastropoda, Buccinoidea) with description of two new species
FIG. 8. — Anatomy of Phaenomenella nicoi n. sp.: A-D, MNHN-IM-2013-61636, male; E-G, MNHN-IM-2013-61637, female: A, soft body removed from the shell; B, penis; C, proboscis, opened dorsally; D, foregut, right lateral view; E, foregut, right lateral view, right salivary gland displaced; F, foregut, right lateral view, right salivary gland in original position; G, stomach, outer view. Abbreviations: see material and methods. Scale bars: 5 mm.
FIG. 4 in On the taxonomic position of Phaenomenella Fraussen & Hadorn, 2006 (Neogastropoda, Buccinoidea) with description of two new species
FIG. 4. — Shells of Phaenomenella samadiae n. sp.: A-C, holotype, MNHN-IM-2013-61617, SL 58.2 mm; D, ZHONGSHA 2015, st. CP4157, non-sequenced spm, MNHN-IM-2013-59393, SL 47.2 mm; E, F, ZHONGSHA 2015, st. CP4134, sequenced spm, MNHN-IM-2013-61674, SL 51.4 mm; G, ZHONGSHA 2015, st. CP4157, non-sequenced spm, MNHN-IM-2013-59665, SL 37.1 mm. Scale bar: 5 cm.
FIG. 2 in On the taxonomic position of Phaenomenella Fraussen & Hadorn, 2006 (Neogastropoda, Buccinoidea) with description of two new species
FIG. 2. — Phylogenetic tree of a dataset of Buccinoidea Rafinesque, 1815 obtained with Bayesian analysis of 28S gene sequences. Support values shown for the supported nodes with posterior probability values between 0.70 and 1.00 only.
FIG. 1 in On the taxonomic position of Phaenomenella Fraussen & Hadorn, 2006 (Neogastropoda, Buccinoidea) with description of two new species
FIG. 1. — Phylogenetic tree of a dataset of Buccinoidea Rafinesque, 1815 obtained with Bayesian analysis of COI gene sequences. Support values shown for the supported nodes with posterior probability values between 0.70 and 1.00 only. The numbers in brackets following the species names correspond to illustrated specimens at the bottom of the figure.
FIG. 11 in On the taxonomic position of Phaenomenella Fraussen & Hadorn, 2006 (Neogastropoda, Buccinoidea) with description of two new species
FIG. 11. — Radulae of Siphonalia spp. A, S. cassidariaeformis (Reeve, 1846) no. 1; B, S. cassidariaeformis no. 2; C, S. pfefferi G. B. Sowerby III, 1900 no. 1;
Fig. 1 in Multiloci analyses suggest synonymy among Rhomboplites, Ocyurus and Lutjanus and reveal the phylogenetic position of Lutjanus alexandrei (Lutjanidae: Perciformes)
Fig. 1. Phylogenetic relationships in Lutjaninae species from the Western Atlantic estimated by Bayesian (BI), maximum likelihood (ML) and a Species Tre analyses inferences based on a data matrix (4.4 kb) comprising mitochondrial (16S rRNA, COI, cyt b, and ND-4) and nuclear (Rhodopsin, TMO4C4 and RAG-1) markers. The BI topology is presented with the posterior probability (BI and Species Tree) and bootstrap (ML) values. The letters in the nodes refer to the clades discussed in the text.
FIG. 13 in Revisiting Calohypsibiidae and Microhypsibiidae: Fractonotus Pilato, 1998 and its phylogenetic position within Isohypsibiidae (Eutardigrada: Parachela)
FIG. 13. — The phylogenetic position of Fractonotus verrucosus (Richters, 1900) n. comb. on the Bayesian Inference and Maximum Likelihood cladogram constructed from currently available 18S rRNA sequences for Isohypsibioidea and Hypsibioidea, with a Milnesium spp. sequence as the outgroup (see also Table 2). Values above branches indicate posterior probability values (BI), whereas values under branches show bootstrap values (ML). Branches with support below 0.9 in BI (70% in ML) were collapsed.
FIG. 10 in Revisiting Calohypsibiidae and Microhypsibiidae: Fractonotus Pilato, 1998 and its phylogenetic position within Isohypsibiidae (Eutardigrada: Parachela)
FIG. 10. — Schematic comparison of stylet furcae in: A, Fractonotus Pilato, 1998; B, Calohypsibius Thulin, 1928; C, Isohypsibius Thulin, 1928.
FIG. 4 in Revisiting Calohypsibiidae and Microhypsibiidae: Fractonotus Pilato, 1998 and its phylogenetic position within Isohypsibiidae (Eutardigrada: Parachela)
FIG. 4. — Genus Calohypsibius Thulin, 1928 s.s., after exclusion of F. verrucosus n. comb. (PCM): A, Calohypsibius ornatus (Richters, 1900); B, Calohypsibius maliki Michalczyk & Kaczmarek, 2005; C, Calohypsibius schusteri Nelson & McGlothlin, 1996. Scale bars: 10 μm.
FIG. 8 in Revisiting Calohypsibiidae and Microhypsibiidae: Fractonotus Pilato, 1998 and its phylogenetic position within Isohypsibiidae (Eutardigrada: Parachela)
FIG. 8. — Buccal apparatus of Fractonotus verrucosus (Richters, 1900) n. comb. (SEM): A, oral cavity armature, the arrowhead indicates the row of conical teeth; B, the buccal crown and both dorsal and ventral apophyses for insertion of stylet muscles (AISM) in lateral view; C, buccal tube, empty arrowheads indicate lateral thickenings; D, stylet furca; E, pharynx in dorsal view; F, pharynx in lateral view. Scale bars: A, D, 0.5 μm; B, 1 μm; C, E, F, 2 μm.
FIG. 7. — A-E in Revisiting Calohypsibiidae and Microhypsibiidae: Fractonotus Pilato, 1998 and its phylogenetic position within Isohypsibiidae (Eutardigrada: Parachela)
FIG. 7. — A-E, Fractonotus spp., F-G, Calohypsibius spp. and H-I, Isohypsibius spp., elliptical organs and details of the buccal apparatus (PCM): Fractonotus verrucosus (Richters, 1900) n. comb.: A, cephalic region, empty arrowheads indicate elliptical organs; B, dorsal view, incised arrowhead indicates buccal tube thickening, and incised empty arrowhead points to the furca; C, ventral view; Fractonotus gilvus (Biserov, 1986) n. comb.; D, ventral view, incised empty arrowhead points to the furca; Fractonotus verrucosus (Richters, 1900) n. comb.; E, lateral view, arrowhead indicates the posterior portion of dorsal apophysis in the shape of stumpy hook; F, Calohypsibius ornatus (Richters, 1900), lateral view, arrowhead indicates the anterior portion of dorsal apophysis in the shape of stumpy hook; G, Calohypsibius schusteri Nelson & McGlothlin, 1996, arrowhead indicates the anterior portion of dorsal apophysis in the shape of stumpy hook, and arrow points to the visible peribuccal papulae; H, Isohypsibius prosostomus (Thulin, 1928); I, Isohypsibius coulsoni Kaczmarek, Zawierucha, Smykla, Michalczyk, 2012. Scale bars: 10 μm.
3DNIV/3DNIV: A Novel Dual Non-Invasive Ventilator Continuous Positive Airway Pressure Non-Aerosolization Circuit for Emergency Use in the COVID-19 Pandemic
<p>The COVID19 pandemic is a public health emergency of unprecedented scale. The surge in clinical cases of patients with severe respiratory illness has overwhelmed the traditional capacity of healthcare systems worldwide. Continuous Positive Airway Pressure (CPAP) delivered through Non-Invasive Ventilation (NIV) has been shown to be useful in caring for patients with COVID19. In particular patients with early stage milder acute hypoxemic respiratory failure can benefit from NIV CPAP therapy, though there is an acknowledged risk of COVID19 aerosolization with traditional circuit use. Furthermore, given the surge in clinical care demand, there is an acute global shortage of ventilators, including NIV devices and therefore innovative methods are needed to increase NIV capacity and ameliorate infectious aerosolization. This work outlines an emergency use modified dual NIV CPAP Circuit that uses a 3D printed splitter designed to work with traditional international NIV CPAP tubing standards and a 3D printed respiratory face mask knuckle to allow for distal expiratory breath exhalation through a viral filter rather than through an open to air proximal valve, which is the traditional NIV CPAP configuration. We expect that this work will increase global NIV CPAP capacity and ameliorate aerosolization of COVID19 in patients undergoing therapy in an emergency scenario.</p>
Data on parties' positions in multiple dimensions across time and space
<p>These files contain data on parties’ positions in latent political spaces, reconstructed based on data from the <a href="https://manifestoproject.wzb.eu/">Manifesto Project</a> (also known as the ‘Comparative Manifestos Project’) using the method published in <em>Political Analysis</em> as <a href="https://doi.org/10.1093/pan/mps042">“A Dynamic State-Space Model of Coded Political Texts”</a>.</p>
Fig. 4 in A new genus and species of uncertain phylogenetic position within the family Hydrobiidae (Caenogastropoda, Truncatelloidea) discovered in Tunisian springs
Fig. 4. Radula of Bullaregia tunisiensis gen. et sp. nov. from a spring in Djebba, Tunisia. A. Rows of teeth of the radula. B. Detail of central teeth. C. Detail of lateral and marginal teeth.
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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.