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333 results for “apparency”
Human Olfaction Without Apparent Olfactory Bulbs
Open the record for dataset details and reuse information.
Plant Atlas 2020 — British and Irish species weekly apparency (including by-latitude breakdown for Britain), 2000–2019
<p>Plant Atlas 2020 is the most comprehensive survey of plants (flowering plants, ferns and charophytes) ever undertaken in Britain and Ireland. It is based on over 30 million records, collected mainly by volunteer recorders of the Botanical Society of Britain and Ireland (BSBI) between 2000 and 2019, as well as previous nationwide surveys undertaken in the 1950s and 1990s. This resource contains the species weekly “apparency” metrics presented within the Plant Atlas book and website, including a breakdown of species apparency by latitude for Britain. Apparency at the scale presented here (2 x 2 km spatially, smoothed over the period 2000–2019) combines aspects of recorder activity and detectability, with the latter being primarily influenced by phenology at this spatio-temporal scale.</p>
PITS Apparent Depth Profiles for Mars Global Cave Candidate Catalog (MGC3) Features
<p>Apparent depth profiles calculated by the Pit Topography from Shadows (PITS) tool for the majority of the features in the Mars Global Cave Candidate Catalog (MGC<sup>3</sup>). PITS is a Python framework for automatically calculating apparent depth profiles for Martian and Lunar pits from just a single cropped satellite image. These images can also be single- or multi-band, such as in the case of the Mars Reconnaissance Orbiter (MRO) HiRISE camera. You can learn more about PITS by reading its <a href="https://academic.oup.com/rasti/article/2/1/492/7241547">journal article</a> in RAS Techniques and Instruments, going to its <a href="https://github.com/dlecorre387/Pit-Topography-from-Shadows/">GitHub repository</a> or reading the following <a href="https://www.danlecorre.com/post/first-paper-published">post</a>.</p> <p>Since not all catalogued cave candidates on Mars will be pits, PITS has so far been applied to the following MGC<sup>3</sup> subcategories:</p> <ul> <li>Atypical Pit Craters (APCs).</li> </ul> <p>With plans to extend this to:</p> <ul> <li>Lava tube skylights,</li> <li>small rimless pits,</li> <li>generic, amorphous pits,</li> <li>and polar pits.</li> </ul> <p>This totals 123 apparent depth profiles in CSV format, which have been derived automatically by PITS for 88 APCs. Therefore, these profiles can be plotted as the user prefers, and/or used in combination with other data to reveal more about this particular APC on the surface of Mars.</p> <p>Each depth profile's CSV file is named according to the HiRISE Reduced Data Record Version 1.1. (RDRV11) that it was calculated upon (e.g. ESP_011386_2065_RED_profile.csv for the red-band version of the HiRISE image ESP_011386_2065). Where there are multiple MGC3 APCs contained within a single image, the file names are numbered generally from the most northern to southernmost, or most westerly to easterly. ESRI shapefiles for the location of all APCs in each HiRISE image have been provided in polygon (containing the extents used to crop the larger HiRISE product) and point format in order to give context in these intances. </p> <p>As the headers suggest, the first four columns represent the shadow length (<em><span class="math-tex">\(L\)</span></em>), apparent depth (<em><span class="math-tex">\(h\)</span></em>), and the upper/lower bounds of <span class="math-tex">\(\Delta h\)</span>, respectively, before they have been corrected for non-zero emission angles (<span class="math-tex">\(\varepsilon\)</span>) at the time of image acquisition. Whereas the latter four columns represent the same quantities after <span class="math-tex">\(\varepsilon\)</span>-correction. How this correction is derived and applied is explained in the PITS journal article linked above.</p>
Plant Apparency data - Habitat selection/Caracolus caracolla and other snails (2019 Ongoing)
Various habitat characteristics are presented, as well as the apparency of common plant taxa at 7 heights (every 0.5 m from ground level to 3 m). The files are divided because variables measured varied by year. This is Version 2020 of these data. Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
Intrinsic and apparent slip at gas-enriched liquid-liquid interfaces: a molecular dynamics study
<p>- "sl1.dat" : text file with data slip length vs number of gas atoms for k_gas = 1.0</p> <p>- "sl5.dat" : text file with data slip length vs number of gas atoms for k_gas = 0.5</p> <p>- "sl25.dat" : text file with data slip length vs number of gas atoms for k_gas = 0.25</p> <p>- "sl125.dat" : text file with data slip length vs number of gas atoms for k_gas = 0.125</p> <p>- "plotsl.plt": gnuplot script to plot slip lengths data and obtain figure 5a of the article</p> <p>- "dg.dat": data for solubilities in kbT units from figure 3 of the article</p> <p>- "3600gask0125.xyz": trajectory file in xyz format for the system with k_gas= 0.125 and 3600 gas atoms</p> <p>- "3600.data": starting configuration for k_gas = 0.125 and 3600 gas atoms in restart.data format for lammps</p> <p>- "in.shear": lammps input script to run the shear simulation for the system with k_gas = 0.125 and 3600 gas atoms starting from configuration store in "3600.data" file</p> <p> </p>
Apparent temperature data
<p>This dataset includes apparent temperature data from thermal walks organized by the City of Amersfoort (COA) to be able to evaluate how people perceive temperature at certain locations. The subjective opinions of the participants of the thermal walk are complemented by measurements from a sensor measuring air temperature, wind speed and humidity.</p>
Photo-oxidation and photomineralization apparent quantum yield dataset for dissolved organic carbon leached from permafrost soils collected from the North Slope of Alaska, July 2018.
Dissolved organic carbon (DOC) was leached from permafrost soils near the Toolik Field Station in the Alaskan Arctic and then characterized for its photochemical properties. Oxygen (O2) consumed from photo-oxidation of permafrost DOC was measured as a function of sunlight wavelength, defined as the apparent quantum yield spectrum of photo-oxidation (O2 consumed per mol photon absorbed by DOC). Carbon dioxide (CO2) produced from photomineralization of permafrost DOC was measured as a function of sunlight wavelength, defined as the apparent quantum yield spectrum of photomineralization (CO2 produced per mol photon absorbed by DOC).
Photomineralization apparent quantum yield at 309 nm for DOC leached from permafrost soils collected from the North Slope of Alaska in the summer of 2015
Dissolved organic carbon (DOC) was leached from permafrost soils near the Toolik Field Station in the Alaskan Arctic and then characterized for its photochemical properties. The apparent quantum yield of photomineralization (photochemical carbon dioxide, CO2, production) of permafrost DOC was quantified at 309 nm.
Data used in the article "Cryptic disease-induced mortality may cause host extinction in an apparently-stable host-parasite system"
<p>These data files include all the capture-history matrices that were used in the article, including two matrices with the age of captured individuals (adults or juveniles) according to the definition presented in the main text. Infection intensity (zoospore equivalents per swab) is provided in separate files for all <em>Rhinoderma darwini</em>i and<em> Eupsophus contulmoensis</em> individuals that tested positive for <em>Batrachochytrium dendrobatidis</em> infection. Also, the R code used for the fully paramaterized matrix population model 1 (including figures) is provided. Other codes used to analyze our data, especifically capture-recapture models, were obtained from Kéry and Schaub 2012 (<em>Bayesian population analysis using WinBUGS. A hierarchical perspective</em>. Waltham, USA: Academic Press.)</p>
Traditional medicinal use is linked with apparency, not specialized metabolite profiles in the order Caryophyllales
<p>A better understanding of the relationship between plant specialized metabolism and traditional medicine has the potential to aid in bioprospecting and untangling of cross-cultural use patterns. However, given the limited information available for metabolites in most plant species, understanding medicinal use-metabolite relationships can be difficult. The order Caryophyllales has a unique pattern of lineages of tyrosine- or phenylalanine-dominated specialized metabolism, represented by mutually exclusive anthocyanin and betalain pigments, making Caryophyllales a compelling system to explore the relationship between medicine and metabolites by using pigment as a proxy for tyrosine- vs phenylalanine-dominant metabolism. We compiled a list of medicinal species in select tyrosine- or phenylalanine-dominant families of Caryophyllales (Nepenthaceae, Polygonaceae, Simmondsiaceae, Microteaceae, Caryophyllaceae, Amaranthaceae, Limeaceae, Molluginaceae, Portulacaceae, Cactaceae, and Nyctaginaceae) by searching scientific literature until no new medicinal uses were recovered. We then tested for phylogenetic clustering of uses using a "hot nodes" approach. To test potential non-metabolite drivers of medicinal use, like how often humans encounter a species (apparency), we repeated the analysis using only North American species across the entire order and performed phylogenetic generalized least squares regression (PGLS) with occurrence data from the Global Biodiversity Information Facility (GBIF). We hypothesized families with tyrosine-enriched metabolism would show clustering of different types of medicinal use compared to phenylalanine-enriched metabolism. Instead, wide-ranging, apparent clades in Polygonaceae and Amaranthaceae are overrepresented across nearly all types of medicinal use. Our results suggest that apparency is a better predictor of medicinal use than metabolite profile, although metabolism type may still be a contributing factor.</p>
Fig. 3 in Hrabeiella Periglandulata (Annelida: "Polychaeta") Do Apparent Differences In Chaetal Ultrastructure Indicate The Existence Of Several Species In Europe?
Fig. 3. Hrabeiellaperiglandulata, chaetae, SEMmicrograph (thewormswerefixedinetha- nol, thespecimenfromSpainfixedinBouinsolution): A = anteriorpartofbodywiththree rowsofchaetaeofaspecimenfromBakonyMts, Hungary (ventro-lateralview), B = lateral chaetaeinthesecondrow (specimenfromBrno, CzechRepublic), C = chaetaeinthesecond row (ventralview, specimenfromVěncováhora (locustypicus), CzechRepublic), D = cha-
Fig. 1 in Hrabeiella Periglandulata (Annelida: "Polychaeta") Do Apparent Differences In Chaetal Ultrastructure Indicate The Existence Of Several Species In Europe?
Fig. 1. Distributionof Hrabeiellaperiglandulata inEuropebasedonrecordspreviouslypublished (circles) orreportedinthisstudy (squares).
Fig. 4 in Hrabeiella Periglandulata (Annelida: "Polychaeta") Do Apparent Differences In Chaetal Ultrastructure Indicate The Existence Of Several Species In Europe?
Fig. 4. SEMmicrographsof Hrabeiellaperiglandulata chaetaeshowingadifferentshape (the wormswerefixedonlyinethanol): A = LateralchaetaeofaspecimenfromHungary. B = Lateralchaetaeinthethirdrowofaspecimenfromnorth-westernCzechia. C = Ventral chaetaeofthelastrowsofaspecimenfromHungary (BakonyMts). D = Chaetaeinthefifth
Surveyance of apparent unfolding curves via thiol labelling
<p>Dataset contains raw and preprocessed data for fluorescence and proteomic studies respectively. In each case, protein foldedness was probed using thiol reactivity. The raw mass spectrometry proteomics data have also been deposited to the ProteomeXchange Consortium via the PRIDE partner repository, with the dataset identifiers PXD022587, PXD022640 and PXD030567.</p>
Rosetta/VIRTIS-H water column densities, rotational temperatures, and apparent ortho-to-para ratios
<p>Table B.1. in ASCII format from Cheng et. al. "The water Ortho-to-Para ration in the coma of comet 67P/Churyumov-Gerasimenko, A&A 2022</p>
Dataset and codes for: Partitioning the apparent temperature sensitivity between autotrophic and heterotrophic protists
<p>Conventional <span>analyses suggest the metabolism of heterotrophs is thermally more sensitive than that of autotrophs, implying that warming leads to pronounced trophodynamic imbalances. However, these analyses inappropriately combine within- and across-taxa trends. We present a novel mathematic framework to separate these, revealing that the higher temperature sensitivity of heterotrophs is mainly caused by within-taxa responses which account for 92% of the difference between autotrophic and heterotrophic protists. This dataset contains both the datasets and R codes of per capita growth rates of autotrophic and heterotrophic protists as well as heterotrophic bacteria and insects.</span></p>
Text-fig. 7. Cornacaeae (a–j), Icacinaceae (k–o). a–e: Mastixia. USNM PAL 772364. Scale bar = 1 cm. a: Lateral view of eroded endocarp – the opposite side being missing and the endocarp broken near its mid point, reflected light, palladium coated. b–e: Micro-CT scan surface renderings. b: Rotated 90° from the view in (a). c: Rotated 90° from the view in (b). d: Rotated 90° from (c), exhibiting the damaged "back" face of the endocarp. e: Axillary view of the endocarp; the opposite end missing as apparent in (d). f–j: Cf. Nyssa. DMNH EPI.47808. Scale bar = 1 cm. Micro-CT scan surface renderings. f: Intact face of the endocarp; note ridges and "apical" point. g: Eroded (?gnawed; note horizontal grooving) opposite face of the endocarp. h: Lateral view of the endocarp, eroded/gnawed face to left. i: Apical view, eroded/gnawn portion below. j: Basal view of endocarp. k–o: Iodes DMNH-EPI.47807. Micro-CT scan surface renderings. Scale bar = 1 cm. k: Face view of endocarp. l: Opposite face of endocarp. m: Lateral view demonstrating the compressed nature of the endocarp, note thickened suture marking the probable track of the primary bundle. n: Apical view, primary bundle trace to right. o: Basal view, primary bundle trace to right. in The Early Middle Eocene Wagon Bed Carpoflora Of Central Wyoming, U.S.A.
Text-fig. 7. Cornacaeae (a–j), Icacinaceae (k–o). a–e: Mastixia. USNM PAL 772364. Scale bar = 1 cm. a: Lateral view of eroded endocarp – the opposite side being missing and the endocarp broken near its mid point, reflected light, palladium coated. b–e: Micro-CT scan surface renderings. b: Rotated 90° from the view in (a). c: Rotated 90° from the view in (b). d: Rotated 90° from (c), exhibiting the damaged "back" face of the endocarp. e: Axillary view of the endocarp; the opposite end missing as apparent in (d). f–j: Cf. Nyssa. DMNH EPI.47808. Scale bar = 1 cm. Micro-CT scan surface renderings. f: Intact face of the endocarp; note ridges and "apical" point. g: Eroded (?gnawed; note horizontal grooving) opposite face of the endocarp. h: Lateral view of the endocarp, eroded/gnawed face to left. i: Apical view, eroded/gnawn portion below. j: Basal view of endocarp. k–o: Iodes DMNH-EPI.47807. Micro-CT scan surface renderings. Scale bar = 1 cm. k: Face view of endocarp. l: Opposite face of endocarp. m: Lateral view demonstrating the compressed nature of the endocarp, note thickened suture marking the probable track of the primary bundle. n: Apical view, primary bundle trace to right. o: Basal view, primary bundle trace to right.
Figs 86–94 in The Panjange nigrifrons group in Borneo (Araneae: Pholcidae): high diversity in Sarawak, apparent absence in Sabah
Figs 86–94. Female genitalia, untreated in ventral view, cleared in ventral and dorsal views. 86– 88. Panjange nigrifrons Deeleman-Reinhold & Deeleman, 1983 (RMNH, Sepaku). 89–91. Pa. kubah Huber, sp. nov. (ZFMK Ar 14588). 92–94. Pa. seowi Huber, sp. nov. (ZFMK Ar 14591).
Figs 29–32 in The Panjange nigrifrons group in Borneo (Araneae: Pholcidae): high diversity in Sarawak, apparent absence in Sabah
Figs 29–32. Panjange niah Huber, sp. nov. (ZFMK Ar 14579–80). 29–30. Left male palp, prolateral and retrolateral views (arrow points at ventral femur apophysis). 31–32. Cleared female genitalia, ventral and dorsal views. Abbreviations: a = appendix; b = genital bulb; e = embolus; f = femur; p = procursus; ps = proximal bulbal sclerite; tr = trochanter. Scale lines: 0.5 mm.
Figs 38–45. — 38–41 in The Panjange nigrifrons group in Borneo (Araneae: Pholcidae): high diversity in Sarawak, apparent absence in Sabah
Figs 38–45. — 38–41. Panjange niah Huber, sp. nov. (ZFMK Ar 14580). 38. Female prosoma, frontal view. 39–40. Comb-hairs on female tarsus 4. 41. Epigynum, ventral view. — 42–45. Panjange kapit Huber, sp. nov. (ZFMK Ar 14583). 42. Tip of left procursus, retrolatero-distal view. 43. Base of palpal trichobothrium. 44. Male ALS. 45. Comb-hairs on male tarsus 4. Scale lines: 10 µm (40, 43–44); 20 µm (45); 40 µm (39); 60 µm (42); 200 µm (38, 41).
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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
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