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4,107 results for “pointing”
Lateral parts of posterior margin more or less strongly pointed (9c); ducts shorter (9c) in A revision of the African wolf spider genus Amblyothele Simon
Lateral parts of posterior margin more or less strongly pointed (9c); ducts shorter (9c)
distal prong of MA strongly tapered and pointed (5b) in A revision of the African wolf spider genus Amblyothele Simon
distal prong of MA strongly tapered and pointed (5b)
MA with one prong only; TA with back pointing tooth (4a) in A revision of the African wolf spider genus Amblyothele Simon
MA with one prong only; TA with back pointing tooth (4a)
Data from: A rat liver transcriptomic point of departure predicts a prospective liver or non-liver apical point of departure
<p>Identifying a toxicity point of departure (POD) is a required step in human health risk characterization of crop protection molecules, and this POD has historically been derived from apical endpoints across a battery of animal-based toxicology studies. Using rat transcriptome and apical data for 79 molecules obtained from Open TG-GATES (Toxicogenomics Project-Genomics Assisted Toxicity Evaluation System) (632 datasets), the hypothesis was tested that a short-term exposure, transcriptome-based liver biological effect POD (BEPOD) could estimate a longer-term exposure "systemic" apical endpoint POD. Apical endpoints considered were body weight, clinical observation, kidney weight and histopathology and liver weight and histopathology. A BMDExpress algorithm using Gene Ontology Biological Process gene sets was optimized to derive a liver BEPOD most predictive of a systemic apical POD. Liver BEPODs were stable from 3 hours to 29 days of exposure; the median fold difference of the 29 day BEPOD to BEPODs from earlier time points was approximately 1 (range of 0.7-1.1). Strong positive correlation (Pearson R = 0.86) and predictive accuracy (root mean square difference = 0.41) were observed between a concurrent (29 day) liver BEPOD and the systemic apical POD. Similar Pearson R and root mean square difference values were observed for comparisons between a 29 day systemic apical POD and liver BEPODs derived from 3 hours to 15 days of exposure. These data across 79 molecules suggest that a longer-term exposure study apical POD from liver and non-liver compartments can be estimated using a liver BEPOD derived from an acute or subacute exposure study.</p>
Submitted Completed pointings to the Gravitational Wave Treasure Map for event TEST_EVENT
Attached in a .json file is the completed pointing information for 2 observation(s) for the EM counterpart search associated with the gravitational wave event TEST_EVENT. These observations were taken on the DLT40 instrument.
Submitted Completed pointings to the Gravitational Wave Treasure Map for event TEST_EVENT
Attached in a .json file is the completed pointing information for 2 observation(s) for the EM counterpart search associated with the gravitational wave event TEST_EVENT. These observations were taken on the DECam instrument.
Electroweak-ino benchmark points from arXiv:2007.08498, Minimal Dirac Gaugino Model
<p>Benchmark points from the paper "Constraining Electroweakinos in the Minimal Dirac Gaugino Model":</p> <p>- Input files for spectrum generation with SPheno (https://dx.doi.org/10.5281/zenodo.3945999)</p> <p>- Input files in SUSY Les Houches Accord (SLHA) format for MadGraph, Micromegas, and SModelS. For Micromegas and SModelS, also the output files are included. </p> <p>- Calchep model files for the MDGSSM for use in Micromegas; the UFO model for MadGraph is available at https://doi.org/10.5281/zenodo.2422746. In SModelS, one simply has to set <em>model=share.models.dgmssm</em> in the parameters.ini file.</p>
Submitted Completed pointings to the Gravitational Wave Treasure Map for event S190814bv
Attached in a .json file is the completed pointing information for 2293 observation(s) for the EM counterpart search associated with the gravitational wave event S190814bv. These observations were taken on the DECam instrument.
Data and R code for The Finer Points of Urban Adaptation: Intraspecific Variation in Lizard Claw Morphology (2020; Biological Journal of the Linnean Society)
<p>This zip file contains all data (tps files, Rdata, csv) and annotated R script to conduct all analyses presented in Falvey et al. (2020, BJLS), which examines claw morphology in 5 species of anole lizards using geometric morphometrics.</p>
Simulated atmospheric CO2 concentration at Point Barrow, Alaska
<p>This dataset is provided in order to enable the reproduction of findings from a series of experiments with the CASA-TOMCAT model setup (Chipperfield, 2006). </p> <p>The Carnegie Ames Stanford Approach (CASA) is a land-surface model that was used to produce fluxes of net ecosystem exchange (NEE) and fires. Our simulations held various input parameters constant in CASA (described below). We then forced the TOMCAT atmospheric chemistry model with these data to produce an estimate of atmospheric CO2 at the Barrow Observatory in Alaska. Further information on the details of the model setup is described in the 'Model_setup.txt' file.</p> <p>Enclosed in this directory are the simulated CO2 at Barrow observatory, Alaska (71.3N, 156.6E) for a number of experiments which are described below. Half of the text files have variable meteorology and are described as 'atmos_vary' in the title, the remaining half have constant (periodical) meteorology, in which atmospheric transport is retained at 1992 values (and described as 'atmos_const').</p> <p>Within each file is the time and date of each measurement of atmospheric CO2 in ppm. In order to obtain the required simulated atmospheric value, add the background, ocean, and fossil fuel (FF) tracer values to the relevant NEE and fire value from the simulation of interest.</p> <p>The simulations are as follows (with their abbreviation given in parentheses): </p> <p>Constant, periodical temperature scalar (temp)<br> Constant, periodical temperature and moisture scalars (temppre)<br> Constant, periodical fraction of photosynthetically active radiation (fpar)<br> Constant, periodical solar radiation (solrad)<br> All the above variables held constant, periodical (all)<br> Control run in which everything varies (ctrl)</p>
Tiles of airborne laser scanning point clouds of Vienna, Austria (2016)
<p>Airborne laser scanning of the city of Vienna, which was organized by the survey department of the City Administration of Vienna (MA41). The data acquisition was performed in eight flight missions in November 2015.</p> <p>After strip adjustment relative accuracy of the point cloud was in the order of 2cm. The absolute accuracy measured as RMSE is better than 5cm in planimetry and better than 4cm in elevation. The dataset was cleaned and does not involve obvious gross errors, e.g. points high up in the air or points far below ground level. The point density is measured as by last echoes per unit area and is more than 15 points/m<sup>2</sup> for 97% of the area. The average point density is 33 points/m<sup>2</sup>.</p> <p>The LiDAR dataset of the city is organized in a number of 1270m×1020m tiles (including a 10m overlap of all neighboring tiles).</p> <p>Reference labels were generated semi-automatically: a rough filtering of main objects was firstly conducted by the software “Terrasolid”, and the final classification was refined by manual labelling. For the purpose of Vienna city administration, five classes are considered, namely ground, buildings, vegetation, others, water and bridges. All common street objects are categorized as others, such as (e.g.) streetlights, benches, shrubs, cars, construction sites and garbage bins. The different classes are defined by the following numeric integer codes: 2: Ground, 5: Vegetation, 6: Buildings, 8: Others, 9: Water and 17: Bridges.</p> <p>The quality of the labelling was manually checked. In 20 sites of 100m×100m the classification was manually verified, and the average accuracy of reference labels is 95%.</p> <p>Total 9 tiles are published, in which 4 tiles were used for the training and 5 tiles for the evaluation in the paper “A Comparison of Deep Learning Methods for Airborne LiDAR Point Clouds Classification”. Their locations in the city of Vienna can be found in the file of metadata, which also provides WGS84/GRS80 latitude and longitude coordinates of the extent corners of each tile (EPSG: 31256). This can be used to access images of the tiles from Google Maps or other public map service.</p> <p> </p>
Drought survival is positively associated with high turgor loss points in temperate perennial grassland species
<p>1. Turgor loss point (π<sub>tlp</sub>) has been suggested to be a key trait for drought resistance in woody species. In herbaceous grassland species the role of π<sub>tlp</sub> for species drought survival has not yet been tested, although grasslands are projected to experience more frequent and intense droughts with climate change.</p> <p>2. To gain insights into the role of π<sub>tlp</sub> for drought resistance of temperate perennial grassland species, we assessed π<sub>tlp</sub> of 41 species common in Germany (20 forbs, 21 grasses). We directly related them to the species' comparative whole-plant drought survival and midday leaf water potentials under drought (Ψ<sub>MD</sub>) assessed in a common garden drought experiment, and to species moisture association.</p> <p>3. Species drought survival increased with increasing π<sub>tlp</sub> across all species as well as within forbs or grasses separately. Ψ<sub>MD</sub> was positively related to π<sub>tlp</sub> and drought survival. Our results imply that high π<sub>tlp</sub> promotes drought survival of common perennial European temperate mesic grassland species by enabling them to maintain high leaf water potentials under drought, i.e., a desiccation avoidance strategy. However, π<sub>tlp</sub> was not related to species moisture association.</p> <p>4. The positive relationship between π<sub>tlp</sub> and drought survival in herbaceous grassland species was opposite to the negative relationship previously established in woody plants, implying that mechanisms of drought resistance differ between woody and herbaceous species. Our results highlight the necessity of directly testing the relationship of functional traits to whole-plant drought survival in different plant life forms, before using trait assessments for predicting plant responses to drought.</p>
Figure 1 in The point on Opaliopsis atlantis (Gastropoda: Epitoniidae) distribution: new data from the Mediterranean and implications
Figure 1. Bathymetric map of the northern Messina Strait (modified from Doglioni et al., 2012). The two O. atlantis sampling stations are indicated.
Figure 3 in The point on Opaliopsis atlantis (Gastropoda: Epitoniidae) distribution: new data from the Mediterranean and implications
Figure 3. (A-D) Opaliopsis atlantis, details of apex and aperture. (A-B) CWR145POP'95RAN10; (C-D) BEL145POP'95FRAN1.
Figure 2 in The point on Opaliopsis atlantis (Gastropoda: Epitoniidae) distribution: new data from the Mediterranean and implications
Figure 2. (A-F) Opaliopsis atlantis: (A-C) Shell from Station CWR145POP'95RAN10, height 9.0 mm. (D-F) Shell from Station BEL145POP'95FRAN1, heigh 8.4 mm.
Data from: A new digital method of data collection for spatial point pattern analysis in grassland communities
<p>A major objective of plant ecology research is to determine the underlying processes responsible for the observed spatial distribution patterns of plant species. Plants can be approximated as points in space for this purpose, and thus, spatial point pattern analysis has become increasingly popular in ecological research. The basic piece of data for point pattern analysis is a point location of an ecological object in some study region. Therefore, point pattern analysis can only be performed if data can be collected. However, due to the lack of a convenient sampling method, a few previous studies have used point pattern analysis to examine the spatial patterns of grassland species. This is unfortunate because being able to explore point patterns in grassland systems has widespread implications for population dynamics, community-level patterns and ecological processes. In this study, we develop a new method to measure individual coordinates of species in grassland communities. This method records plant growing positions via digital picture samples that have been sub-blocked within a geographical information system (GIS). Here, we tested out the new method by measuring the individual coordinates of <i>Stipa</i><i> grandis</i> in grazed and ungrazed <i>S. grandis</i> communities in a temperate steppe ecosystem in China. Furthermore, we analyzed the pattern of <i>S. grandis</i> by using the pair correlation function <i>g</i>(<i>r</i>) with both a homogeneous Poisson process and a heterogeneous Poisson process. Our results showed that individuals of <i>S. grandis</i> were overdispersed according to the homogeneous Poisson process at 0-0.16 m in the ungrazed community, while they were clustered at 0.19 m according to the homogeneous and heterogeneous Poisson processes in the grazed community. These results suggest that competitive interactions dominated the ungrazed community, while facilitative interactions dominated the grazed community. In sum, we successfully executed a new sampling method, using digital photography and a Geographical Information System, to collect experimental data on the spatial point patterns for the populations in this grassland community.</p>
Newnan Point, SJ13_34
Newnan style biface, North Florida, Archaic (6200-5200 ya) Part of the Coontie Island Collection, SJ13_34 Model by Emily Jane Murray This model was made using RealityCapture software by Capturing Reality Source: Objaverse 1.0 / Sketchfab
Point Cloud - Plaza Mayor de Almagro, Spain
This is a point cloud of the Plaza Mayor de Almagro, located in Almagro Spain. The data were collected during the night in March 2017 using three FARO Focus3D laser scanners. Almagro's main square is in the historical and cultural center of the city, in the heart of the Military Order of Calatrava. It was built in the 16th century as a large public space for a market, celebrations, important or solemn events and leisure space. Its size allowed, the holding of bullfights, before the exempt bullrings were created. The plaza has a rectangular shape and is delimited by two large galleries formed by beautiful stone columns. Originally the upper galleries of the square were not closed as they served to contemplate the public shows organized in the square. At one end the Town Hall stands and at the other end the Church of San Bartolomé, now disappeared. In addition, on one of its sides it is still possible to visit the corral de comedias (theater) built in the late 16th century or early 17th century. Source: Objaverse 1.0 / Sketchfab
12th C CE Water-Moon Guanyin - point cloud
Twelfth-century Water-Moon Guanyin, now in the collection of the Minneapolis Institute of Art. From the sculpture's description on artsmia.org: "This form of the bodhisattva presides over his own paradise, Potolaka, which is described in scripture as a rugged seaside cave from which Avalokiteshvara could admire the reflection of the moon in the water. Appropriately, he appears meditative and relaxed and is seated informally in the "royal-ease" posture. Ornately dressed, with silk robes, fluttering sashes, jewelry, and an elaborate hairstyle, he also wears a headpiece that features an image of Amitābha, the buddha to whom Avalokiteshvara attends. Believers might look to a sculpture like this as a guide for their own journeys toward enlightenment." The sculpture on Mia's website: https://collections.artsmia.org/art/32122/seated-guanyin-china The mesh version of the object is here: https://skfb.ly/68PAA Source: Objaverse 1.0 / Sketchfab
Nosferatu - Point Cloud
Nosferatu, eine Symphonie des Grauens (translated as Nosferatu: A Symphony of Horror; or simply Nosferatu) is a 1922 German Expressionist horror film, directed by F. W. Murnau, starring Max Schreck as the vampire Count Orlok. The film, shot in 1921 and released in 1922, was an unauthorized adaptation of Bram Stoker's Dracula (1897). Various names and other details were changed from the novel: for instance, "vampire" became "Nosferatu" and "Count Dracula" became "Count Orlok". Stoker's heirs sued over the adaptation, and a court ruling ordered that all copies of the film be destroyed. However, a few prints of Nosferatu survived, and the film came to be regarded as an influential masterpiece of cinema. The film was released in the United States on 3 June 1929, seven years after its original premiere in Germany. Source: Wikipedia Source: Objaverse 1.0 / Sketchfab
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.