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4,669 results for “Environment;”
Video Data: Spatiotemporal visual statistics of aquatic environments in the natural habitats of zebrafish
<p>Video dataset accompanying " Spatiotemporal visual statistics of aquatic environments in the natural habitats of zebrafish." See accompanying <a href="https://github.com/eacooper/ZebrafishAquaticVisualStatsCode">Github repository</a> for more documentation and analysis code.</p>
Robust Almost-Sure Reachability in Multi-Environment MDPs: Supplemental Material
<p>Supplemental material for the paper: Robust Almost-Sure Reachability in Multi-Environment MDPs</p> <p>Submitted to TACAS 2023</p>
Experimental and analytical methods for thermal infrared spectroscopy of complex dust coatings in a simulated asteroid environment
<p>The spectral and thermophysical effects of thin-continuous, macro-discontinuous, and micro-discontinuous dust cover are not understood and require relevant laboratory analyses to be deconvolved in an orbital setting. We have constructed a custom environment chamber that enables the controlled deposition of size-regulated dust particles in coatings with varying continuity and thickness. TIR spectra of coated substrates acquired in a simulated asteroid environment (SAE) are used to investigate the extent to which dust coatings of different thicknesses and arrangements contribute to orbital spectral signatures of airless body surfaces. </p> <p>TIR (5-50 𝜇m) spectra of each sample are acquired under SAE conditions using the Planetary and Asteroid Regolith Spectroscopy Environmental Chamber (PARSEC) at Stony Brook University. PARSEC is designed to measure samples under environmental conditions typical of airless bodies. The chamber houses a sample wheel with six sample cups and a calibration target coated with Nextel black. There is also a black body target under the wheel. All sample cup and black body targets can be individually heated and rotated into position from outside of the chamber. Temperature is controlled through two Eurotherm Mini8 Loop Controllers and managed on an in-lab computer with the Eurotherm iTools interface. Samples are illuminated at 55° incidence by a quartz halogen lamp connected to a Bentham 610 power source. Surrounding the sample wheel is a cold shield actively cooled by the input of liquid nitrogen into an internal dewar to reach temperatures < 150 K. Pressure in the chamber is controlled by a Pfeiffer HiCube turbo vacuum pump to reach 10<sup>-6</sup> mbar. In line with the vacuum chamber is a pressure regulated tank of N<sub>2</sub> used for purging and ambient pressure measurements. The PARSEC chamber is connected to a Nicolet 6700 FTIR spectrometer equipped with a Cesium Iodide (CsI) beamsplitter and a deuterated L-alanine doped triglycine sulfate (DLaTGS) detector with a CsI window. The spectrometer is actively purged with air scrubbed of CO<sub>2</sub> and water vapor and sealed at the interface with PARSEC. A total of 256 scans from 2,200 to 400 cm<sup>-1</sup> are integrated for a 10-minute measurement period, using a spectral sampling of 2 cm<sup>-1</sup>. During each experimental session, all samples and the black body are measured under SAE conditions. Calibration measurements of the blackbody target at 70 and 100°C are acquired, then the integrated sample cup heaters and solar lamp are adjusted to achieve the desired sample brightness temperature of 80°C. Samples are allowed to reach temperature under the lamp for more than 45 minutes until the spectral maximum stabilizes and the calculated brightness temperature at the CF is within ~10 K of the target 353 K. This procedure is repeated for all samples while ensuring the chamber temperature remains stable under 150 K through continued addition of liquid nitrogen. The Radiance-to-emissivity conversion method used determines the maximum brightness temperature between 500 and 1700 cm-1 and divides the radiance by a Planck function of the same temperature. This assures the maximum brightness temperature is the kinetic temperature of the same, and its emissivity is unity at the frequency of this maximum. This dataset includes 15 different samples acquired under SAE and ambient pressure/temperature conditions. These samples range in layer thickness and continuity and are intended to test and demonstrate the range of the coating process.</p>
Vessel dimorphism and wood traits in lianas and trees among three contrasting environments
<p>There are data and R-codes for "Vessel dimorphism and wood traits in lianas and trees among three contrasting environments" which will be published.</p>
Dataset of WiFi-based Environment-independent In-baggage Object Identification System
<p><strong>Description:</strong></p> <p>The dataset of environment-independent in-baggage object identification system leveraging low-cost WiFi. The dataset contains the extracted CSI features from 14 representative in-baggage objects of 4 different materials. The experiments are conducted in 3 different office environments with different sizes. We hope this dataset will help researchers to reproduce the former work of in-baggage object identification through WiFi sensing. </p> <p> </p> <p><strong>Dataset Format: </strong></p> <p>.mat files</p> <p> </p> <p><strong>Section 1: Device Configuration: </strong></p> <ul> <li> <p><strong>Transmitter: </strong>Aaronia HyperLOG 7060 direction antenna with a Dell Inspiron 3910 desktop for control. </p> </li> <li> <p><strong>Receiver: </strong>Hawking HD9DP orthogonal antennas with a Dell Inspiron 3910 desktop for control</p> </li> <li> <p><strong>NIC:</strong> Atheros QCA9590. The configuration and installation guide of CSI tool can be found at <a href="https://wands.sg/research/wifi/AtherosCSI/">https://wands.sg/research/wifi/AtherosCSI/</a></p> </li> <li> <p><strong>WiFi Packet Rate: </strong>1000 pkts/s </p> </li> </ul> <p> </p> <p><strong>Section 2: Data Format</strong></p> <p>We provide the CSI features through .mat files. The details are shown in the following:</p> <ul> <li> <p>14 different objects made of 4 different materials are included in 3 different environments and 3 different days.</p> </li> <li> <p>Each object is tested for 60 seconds and repeated for 3 times. </p> </li> <li> <p>The dataset file name is presented as "Object_Number". The detailed information are:</p> <ul> <li> <p>Object: The object we involved in the experiment (e.g., book, laptop)</p> </li> <li> <p>Number: The number of repeats. </p> </li> </ul> </li> </ul> <p> </p> <p><strong>Section 3: Experimental Setups</strong></p> <p>There are 3 different office experiment setups for our data collection. The detailed setups are shown in the paper. For the objects, we involve 14 types of objects made of 4 different materials. </p> <ul> <li> <p><strong>Environments: </strong></p> <ul> <li> <p>3 different environments are involved, including 3 office environments with the size of 15 ft × 13 ft, 16 ft × 12 ft, 28 ft × 23 ft, respectively. </p> </li> <li> <p>For each room environment, data is collected on different days and with different furniture settings (i.e., 2 desks and 2 chairs are moved at least 3 ft. )</p> </li> </ul> </li> <li> <p><strong>Representative objects: </strong></p> <ul> <li> <p>Data is collected using 14 representative objects of 4 different materials including fiber: book, magazine, newspaper; metal: thermal cup, laptop; cotton/polyester: cotton T-shirts (×2), cotton T-shirts (×4), hoodie, polyester T-shirts, polyester pants; water: 1L bottle with 1L water, 1L bottle with 500ml water, 500ml bottle with 500ml water. </p> </li> </ul> </li> </ul> <p> </p> <p><strong>Section 4: Data Description</strong></p> <p>For our data organization, we separate the data files into different folders based on different days and different environments. Under these folders, data are further distributed in terms of different objects and repeat times. All the files are .mat files, which can be directly read for further applications. </p> <ul> <li> <p><strong>Features of CSI amplitude: </strong>We calculate 7 different types of statistical features, including mean, variance, median, skewness, kurtosis, interquartile range and range, and polarization feature from CSI amplitude. Particularly, we calculate the features for all 56 subcarriers with different operating frequencies and responses to the target object. </p> </li> <li> <p><strong>Features of CSI phase: </strong>For the features of CSI phase, the same features with CSI amplitude are extracted and stored in the dataset. </p> </li> </ul> <p> </p> <p><strong>Section 6: Citations</strong></p> <p>If your work is related to our work, please cite our papers as follows. </p> <p><a href="https://ieeexplore.ieee.org/document/9637801">https://ieeexplore.ieee.org/document/9637801</a></p> <p>Shi, Cong, Tianming Zhao, Yucheng Xie, Tianfang Zhang, Yan Wang, Xiaonan Guo, and Yingying Chen. "Environment-independent in-baggage object identification using wifi signals." In 2021 IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems (MASS), pp. 71-79. IEEE, 2021.</p> <p> </p>
Viral Regulation of Bacterial Metabolism and Community Composition across Trophic Status in Marine Environments
<p>Table 1: Details and microbial abundances during the incubation at the three stations.</p> <p>Table 2: Details and parameters at the end of the incubation.</p>
Data to reproduce the results presented in Lake et al. 2023. Science of The Total Environment, https://doi.org/10.1016/j.scitotenv.2023.162332 ("Use of a submersible spectrophotometer probe to fingerprint spatial suspended sediment sources at catchment scale")
<p>This repository contains the absorbance data measured on the water samples collected in all sampling sites, for the three campaigns, as described in Lake et al., 2023. </p> <p>Data consists of:</p> <p>- Absorbance data compensated for measured concentration and compensated for absorbance measured on filtered water </p> <p>- Absorbance data compensated for measured concentration</p> <p>Shown files are the input files for the MixSIAR modelling exercise as described in Lake et al., 2023.</p>
AALTO - Analysis of Drone Propagation With Ray Tracing From Sub-6 GHz Upto TeraHertz Frequencies in a Real World Urban Environment - DATA
<p>The data set includes simulation results from radio propagation modelling of TERAWAY links (at W, D and THz bands) in realistic 3D propagation environments. The modelling is performed using a Ray Tracing Tool developed in MATLAB environment at Aalto University. Ray tracing technique used in this tool is based on Image Theory (IT) algorithm. Unlike a quasi three-dimensional environment, it supports ray tracing in full three dimension. </p> <p>This data set contains propagation modelling results of the TERAWAY link. Output data includes (but is not limited to): Multipath component IDs, Path Distance (meter), Angle of Arrival AoA (degree), Angle of Departure AoD (degree), Direction of Arrival DoA (degree), Direction of Departure DoD (degree), E-Field (Volt/meter), H-Field (Ampere/meter), Phase (Radians), Power (Watts), Number of reflections a path experienced, Number of diffractions a path experienced, information that is it ground reflected path or not, Receiver location (x and y coordinates), information that is it rooftop path or not.</p>
A global analysis of coral bleaching patterns in association with mangrove environments under global warming
<p><span>Marine heatwaves caused by global warming are progressively degrading coral reefs worldwide via the process of coral bleaching – the expulsion of photosynthetic endosymbionts.</span> However, coral bleaching is not spatially homogeneous, but varies across environmental gradients in association with local conditions and taxonomic composition. Emerging evidence suggests that mangrove habitats are recurrent "microenvironments" for reef corals, providing key biogeochemical services believed to influence their resilience, and housing co-tolerant coral taxa. This close association between coral reefs and mangroves has led to the hypothesis that the extent of coral bleaching is reduced by the proximity of reef building corals to mangroves. Here, we present the first global-scale test addressing this hypothesis. Using Bayesian Generalised Linear Mixed Effect modelling, we show that coral bleaching tends to increase under higher thermal stress when corals are further away from mangroves. When comparing conditional effects, corals furthest away from mangroves also show the highest levels of bleaching, suggesting a phenomenon of reduced bleaching for corals residing closer to mangroves under thermal stress. The drivers of this pattern may be numerous, but most likely include the presence of co-tolerant coral species which are known to be associated with mangroves. Future research should focus on disentangling the mechanisms underlying these coral bleaching patterns in association with mangroves, specifically focusing on in-situ environmental and taxonomic data collection. These endeavours will most likely require high-resolution analyses of coral reefs at more local-scales. Ultimately, our findings add to the ever-growing importance of mangroves for near-shore coral reef environments, and suggest a potentially important benefit for coral reefs associated with mangroves in the Anthropocene.</p>
Adaptation and evolution of teaching method for university programming subject to the online learning environment - Commit Data
<p>This dataset contains commit UNIX timestamps for Copymaster assignment git repositories of students studying Operating Systems class at Technical University of Košice in the span of years 2017/2018 - 2020/2021.</p>
Data for "Plant trait-environment relationships in tundra are consistent across spatial scales"
<p>These data and code are associated with the publication Rissanen et al. (2023) "<strong>Plant trait-environment relationships in tundra are consistent across spatial scales</strong>" published in Ecography (doi:10.1111/ecog.06397). Modelling data are provided separately for each scale and contain community weighted mean traits and environmental variables. Raster stacks of the spatially continuous environmental predictors were used to produce spatial predictions of trait variation at each scale. </p> <p>Provided R codes were used to model trait-environment relationships at the local (LOC), regional (REG) and subcontinental (SUB) scale. The data and analyses are described in the linked publication. The data should be sited properly.</p> <p> </p>
Adaptation and evolution of teaching method for university programming subject to the online learning environment - Student surveys dataset
<p>This dataset contains anonymized survey data of students studying Operating Systems class at the Technical University of Košice in the span of school years 2017/2018 to 2020/2021.</p>
New soft-bodied panarthropods from diverse Spence Shale (Cambrian; Miaolingian; Wuliuan) depositional environments
<p><span>The Cambrian (Miaolingian; Wuliuan) Spence Shale Lagerstätte of northern Utah and southern Idaho is one of the most diverse Burgess Shale-type deposits of Laurentia. It yields a diverse fauna consisting of abundant biomineralized and locally abundant soft-bodied fossils, along a range of environments from shallow water carbonates to deep shelf dark shales. Panarthropods are the dominant component throughout the deposit, both in time and space, but while the trilobites and agnostoids are abundant, most of the soft-bodied taxa are only known from very few specimens. Additionally, the knowledge of the soft-bodied panarthropods is currently largely limited to locations in the Wellsville Mountains of northeastern Utah. This contribution describes 21 new soft-bodied panarthropods from six locations, including the first occurrences of soft-bodied panarthropods in the High-Creek, Smithfield Creek, Spence Gulch, and Two-Mile Canyon localities. Additionally, we report the presence of bradoriids, <em>Branchiocaris</em> <em>pretiosa</em>, <em>Perspicaris</em>? <em>dilatus</em>, <em>Naraoia</em>? sp., <em>Thelxiope</em> cf. <em>T</em>. <em>palaeothalassia</em>, and <em>Tuzoia</em> <em>guntheri</em> for the first time from the Spence Shale Lagerstätte, the first occurrence reported outside of the Burgess Shale for <em>Thelxiope</em> cf. <em>T</em>. <em>palaeothalassia</em> and the first Wuliuan occurrence of <em>Tuzoia</em> <em>guntheri</em>. We also report on a new hurdiid carapace element and additional specimens of <em>Buccaspinea</em> <em>cooperi</em>?, <em>Dioxycaris</em> <em>argenta</em>, <em>Hurdia</em> sp., and <em>Tuzoia</em> <em>retifera</em>. This new material improves our understanding of the panarthropod fauna of the Spence Shale Lagerstätte and substantially increases our understanding of the distribution of the described taxa in time and space.</span></p>
Adaptation and evolution of teaching method for university programming subject to the online learning environment - Student point gain dataset
<p>This dataset contains anonymized study results of students studying Operating Systems class at the Technical University of Košice in the span of school years 2015/2016 to 2020/2021.</p>
dataset for "Anthropogenic dust as a significant source of ice-nucleating particles in the urban environment"
<p>These are data that correspond to the publication of "anthropogenic dust ice nucleating particles"</p>
Data for "Revealing the sources and sinks of negative cluster ions in an urban environment through quantitative analysis"
<p>This file consists of the detection efficiency of APi-TOF, the time series of total negative cluster ions and CS in urban Beijing, and the average spectrums of negative clusters ions measured by APi-TOF during haze and clean periods in urban Beijing, which have been analyzed in the manuscript "Revealing the sources and sinks of negative cluster ions in an urban environment through quantitative analysis". For more details, please contact the author (rujing.yin@helsinki.fi).</p>
Agriculture and Environment in the Swiss Cantons - Dataset
<p>Dataset presented in the Report (same title)</p>
Database of flow cytometric analyses from: Roxo, G., Brilhante, M., Moura, M., Menezes de Sequeira, M., Costa, J., Silva, L., Vasconcelos, R., Talhinhas, P., Romeiras, M. (2022) Genome size variation within Crithmum maritimum: clues on the colonization of insular environments.
<p>Raw data of the Genome size of <em>Crithmum maritimum</em> for the 114 populations across the Portuguese territory (Portugal Mainland, Azores and Madeira archipelago). The data was obtained through the flow cytometry technique. This dataset contains a total of 1565 analyzes. </p>
The evolutionary history of rice azaleas (Rhododendron tschonoskii alliance) involved niche evolution to a montane environment
<p><span><strong>Premise</strong>:</span><span> The formation of isolated montane geography on islands promotes evolution, speciation and followed radiation with ecological changes. Thus, investigating evolutionary history of montane species and associated ecological changes may help efforts to understand how endemism formed in islands' montane floras. To explore this process, we investigated the evolutionary history of the <em>Rhododendron</em> <em>tschonoskii</em> alliance, which grows in montane environments of the Japanese Archipelago and Korean Peninsula. </span></p> <p><span><strong>Methods</strong>:</span><span> We studied the five species of the <em>R. tschonoskii</em> alliance and 30 outgroup species, using genome-wide single nucleotide polymorphisms and cpDNA sequences, in association with environmental analyses. </span></p> <p><span><strong>Results</strong>:</span><span> The monophyletic <em>R. tschonoskii</em> alliance diverged since the late Miocene, and its cold climatic niche largely differentiated from those of outgroup species. We observed clear genetic and niche differentiations between the taxa of the alliance.</span></p> <p><span><strong>Conclusions</strong>:</span><span> The association of the evolution of the alliance with formation of cooler climates on mountains indicates that it was driven by global cooling since the mid-Miocene and rapid uplift of mountains since the Pliocene. The combination of geographic and climatic isolations promoted high genetic differentiation between taxa, which has been maintained by climatic oscillations since the Quaternary.</span></p>
Figure 2 in Tyrannosaurus rex runs again: a theoretical analysis of the hypothesis that full-grown large theropods had a locomotory advantage to hunt in a shallow-water environment
Figure 2. Depiction of the measurements (a, b, h) taken from figures in the paper by Bates et al. (2009) and the methods to estimate wetted areas and volumes from cylindrical slices. A representative example of the methods (best reconstruction of Tyrannosaurus rex BHI 3033) is shown. The silhouettes were modified from fig. 5 in the paper by Bates et al. (2009). A, cranial view and lateromedial measurements. B, right lateral view and anteroposterior measurements. C, a generic cylindrical slice and the equations to estimate the contribution to the total areas and volumes.
ScienceDex guides
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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.