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4,669 results for “Environment;”
Dataset for "Possible Wintertime Sources of Fine Particles in an Urban Environment"
<p>Dataset associated with "Possible Wintertime Sources of Fine Particles in an Urban Environment", Meskhidze et al., (2019), Journal of Geophysical Research. The files are tarball archives compressed using XZ utils. To limit single file size, the data are archived at the directory level. The total extracted data volume is 126.8 GB. README.md (markdown format) provides further information about the data format and files distributed inside the archive. SP2.README.md explains the SP2 data. A README.md further explaining the SMPS data is included in the compressed archived directory.</p>
Fig. 1 in Interpreting the condition of the forest environment with use of the SCP/MIB model of carabid communities (Coleoptera: Carabidae)
Fig. 1. Correlation between values of SCP index of Carabids beetles and age of inhabiting forests.
Fig. 8 in Interpreting the condition of the forest environment with use of the SCP/MIB model of carabid communities (Coleoptera: Carabidae)
Fig. 8. The status of carabid communities living in different zones of the forest – fallow ecotone.
Figure 1 in Spatiotemporal distribution, abundance, and species-environment relationships of Scyphozoa (Cnidaria) species in Hisarönü, Marmaris, and Fethiye bays (Muğla, Turkey
Figure 1. Sampling stations on the coast of Muğla.
Figure 3 in Do disturbed environments affect density of the tunnel-web spider Acanthogonatus centralis (Mygalomorphae: Nemesiidae) from native grasslands in Argentina?
Figure 3. Relationship between the density of potential shelters and the density of spiders.
Lipid-polymer nanoparticles to probe the native-like environment of intra-membrane rhomboid protease GlpG and its activity
<p><span>Polymers can facilitate detergent-free extraction of membrane proteins into nanodiscs (e.g., SMALPs, DIBMALPs), incorporating both integral membrane proteins as well as co-extracted native membrane lipids. Lipid-only SMALPs and DIBMALPs have been shown to possess a unique property; the ability to exchange lipids through ‘collisional lipid mixing’<em>.</em> Here we expand upon this mixing to include protein-containing DIBMALPs, using the rhomboid protease GlpG. Through lipidomic analysis before and after incubation with DMPC or POPC DIBMALPs, we show that lipids are rapidly exchanged between protein and lipid-only DIBMALPs, and can be used to identify bound or associated lipids through ‘washing-in’ exogenous lipids. Additionally, through the requirement of rhomboid proteases to cleave intra-membrane substrates, we show that this mixing can be performed for two protein-containing DIBMALP populations, assessing the native function of intramembrane proteolysis and demonstrating that this mixing has no deleterious effects on protein stability or structure</span></p>
Historic version of the Environments - EOL project: Environments-EOL
The EOL-Rubenstein 2013 "ENVIRONMENTS" focuses on identifying environment descriptive terms in text, such as "coral reef, cultivated land, glacier, pelagic, forest, lagoon", in EOL taxa text descriptions. Project lead: Evangelos Pafilis
Data and code from: Species interactions drive continuous assembly of freshwater communities in stochastic environments
<p>Understanding the factors driving the maintenance of long-term biodiversity in changing environments is essential for improving restoration and sustainability strategies in the face of global environmental change. Biodiversity is shaped by both niche and stochastic processes, however the strength of deterministic processes in unpredictable environmental regimes is highly debated. Since communities continuously change over time and space -- species persist, disappear or (re)appear -- understanding the drivers of species gains and losses from communities should inform us about whether niche or stochastic processes dominate community dynamics.<br>Applying a nonparametric causal discovery approach to a 30-year time series containing annual abundances of benthic invertebrates across 66 locations in New Zealand rivers, we found a strong \hl{negative} causal relationship between species gains and losses directly driven by predation indicating that niche processes dominate community dynamics. Despite the unpredictable nature of these system, environmental noise was only indirectly related to species gains and losses through altering life history trait distribution. Using a stochastic birth-death framework, we demonstrate that the negative relationship between species gains and losses can not emerge without strong niche processes. Our results showed that even in systems that are dominated by unpredictable environmental variability, species interactions drive continuous community assembly. </p>
Multimodal Sensor Dataset from Wood/Forest Environment - Adões
<p>This forestry robotic dataset consists of a <strong>forest scenario</strong> with a relatively restricted and blocked trajectory, <a href="https://www.google.pt/maps/place/40%C2%B017'04.0%22N+8%C2%B027'25.7%22W/@40.2845835,-8.4577709,166m/data=!3m1!1e3!4m4!3m3!8m2!3d40.2844305!4d-8.4571394?hl=pt-PT&entry=ttu&g_ep=EgoyMDI0MDkwOC4wIKXMDSoASAFQAw%3D%3D"> Adões, Coimbra, Portugal</a> (40º28'44.305''N; -8º45'71.394''W).<br>The dataset contains rosbags information with different rostopics of various sensors, with a total distance covered of approximately 620 meters.<br>The dataset was broken into rosbags with a maximum storage of 10GB each.</p> <p>The recorded topics were as follows:</p> <ul> <li>Velarray M1600 LiDAR point clouds data (sensor_msgs/PointCloud2) @20Hz;</li> <li>Realsense Intel D435i compressed image data, compressed depth info, alongside camera info (sensor_msgs/CompressedImage + sensor_msgs/CompressedImage + sensor_msgs/CameraInfo) @30Hz;</li> <li>Mynt Eye S1030 left camera data alongside camera info (sensor_msgs/Image + sensor_msgs/CameraInfo) @20Hz;</li> <li>Mynt Eye S1030 right camera data alongside camera info (sensor_msgs/Image + sensor_msgs/CameraInfo) @20Hz;</li> <li>IMU sensor data, alongside magnetometer data (sensor_msgs/Imu + sensor_msgs/MagneticField) @100Hz;</li> <li>RTK GNSS information on the trajectory taken (sensor_msgs/NavSatFix) @1Hz.</li> </ul>
Multimodal Sensor Dataset from Wood/Forest Environment - iParque
<p>This forestry robotic dataset comprises a <strong>woodland scenario</strong> with a relatively open sky view, <a href="https://www.google.pt/maps/place/40%C2%B010'35.3%22N+8%C2%B028'07.2%22W/@40.1765628,-8.468883,70m/data=!3m1!1e3!4m4!3m3!8m2!3d40.1764826!4d-8.4686631?hl=pt-PT&entry=ttu&g_ep=EgoyMDI0MDkwOC4wIKXMDSoASAFQAw%3D%3D">iParque Park, Coimbra, Portugal</a> ( 40º17'64.826''N; -8º46'86.631''W).<br>The dataset contains information on rosbags with different rostopics of various sensors, with a total distance covered of approximately 950 meters.<br>The dataset was broken into rosbags with a maximum storage of 10GB each.</p> <p>The recorded topics were as follows:</p> <ul> <li>Velarray M1600 LiDAR point clouds data (sensor_msgs/PointCloud2) @20Hz;</li> <li>Realsense Intel D435i compressed image data, compressed depth info, alongside camera info (sensor_msgs/CompressedImage + sensor_msgs/CompressedImage + sensor_msgs/CameraInfo) @30Hz;</li> <li>Mynt Eye S1030 left camera data alongside camera info (sensor_msgs/Image + sensor_msgs/CameraInfo) @20Hz;</li> <li>Mynt Eye S1030 right camera data alongside camera info (sensor_msgs/Image + sensor_msgs/CameraInfo) @20Hz;</li> <li>IMU sensor data, alongside magnetometer data (sensor_msgs/Imu + sensor_msgs/MagneticField) @100Hz;</li> <li>RTK GNSS information on the trajectory taken (sensor_msgs/NavSatFix) @1Hz.</li> </ul>
Data-driven Soil Moisture Sensing with mmWave Radar In Environment 1
<p>This is a millimeter-wave radar soil moisture dataset, which includes soil samples with 20 different moisture levels, ranging from 6.20% to 43.82% with approximately 2% intervals. In the bin file names, the first number after "data" represents the soil moisture level, labeled as 1 to 20, with moisture levels of 6.20%, 8.30%, 10.80%, 12.60%, 14.44%, 16.14%, 18.96%, 19.70%, 23.34%, 25.24%, 26.24%, 28.90%, 31.10%, 32.46%, 33.80%, 36.44%, 38.20%, 40.56%, 42.68%, and 43.82%, respectively.In the bin file names, the second number after "data" represents the height of the radar development board above the soil surface, measured in centimeters, specifically 16 cm, 20 cm, and 24 cm. The data was collected using the IWR1843 radar board, with 1 transmitting antenna and 4 receiving antennas. Each bin file contains 128 radar frames, with each frame consisting of 32 chirps, and each chirp containing 384 sampling points.</p>
DUNE: Dust depletion UNified method across cosmic time and Environments
<p>Table 1 and appendices B-C from the paper "DUNE: Dust depletion UNified method across cosmic time and<br>Environments".</p>
Data-driven Soil Moisture Sensing with mmWave Radar In Environment 2
<p>This is a millimeter-wave radar soil moisture dataset, which includes soil samples with 20 different moisture levels, ranging from 10.0% to 48.0% with approximately 2% intervals.In the bin file names, the first number after "data" represents the soil moisture level, labeled as 1 to 20, with moisture levels of 10.0%, 12.0%, 14.0%, 16.0%, 18.0%, 20.0%, 22.0%, 24.0%, 26.0%, 28.0%, 30.0%, 32.0%, 34.0%, 36.0%, 38.0%, 40.0%, 42.0%, 44.0%, 46.0%, and 48.0%, respectively.In the bin file name, the second number after 'data' indicates the environment: 0 represents a static environment, and 1 represents a dynamic environment, where there is human movement.In the bin file name, 'train' and 'test' after 'data' represent the training and testing data, which were collected in two separate sessions.The data was collected using the IWR1843 radar board, which has 3 transmitting antennas and 4 receiving antennas. Each bin file contains 64 radar frames, with each frame consisting of 96 chirps, and each chirp containing 384 sampling points.</p>
Supplementary Materials S1-S4 to Leipe et al., 2024. Human activities, early farming and natural environment in the north-western Kanto Plain (Central Japan) during the Final Jomon–Early Kofun period (990 cal BCE–330 cal CE) inferred from palynological and archaeobotanical records
<p>This dataset represents the Supplementary Materials S1-S4 to Leipe et al. (2024), <em>QEH</em> 2, 100030.</p> <p>Leipe et al., 2024. Human activities, early farming and natural environment in the north-western Kanto Plain (Central Japan) during the Final Jomon–Early Kofun period (990 cal BCE–330 cal CE) inferred from palynological and archaeobotanical records. <em>Quaternary Environments and Humans</em> 2, 100030 (doi: <a href="https://doi.org/10.1016/j.qeh.2024.100030">https://doi.org/10.1016/j.qeh.2024.100030</a>).</p> <p><strong>Supplementary Material S1</strong>: Pollen and non-pollen palynomorph records of a section (490.5-668.5 cm depth) of the MJ20 sediment core from Morinji Marsh, Tatebayashi City, Gunma Prefecture, Kanto region, Central Japan.</p> <p><strong>Supplementary Material S2</strong>. Sample-specific total counts of macrobotanical (seeds and fruits) and fungal remains and floated litres of sediment samples from ash pits (Yayoi period) and hearths (Kofun period) of the Ikegami archaeological site, Kumagaya City, Saitama Prefecture, Kanto region, Central Japan.</p> <p><strong>Supplementary Material S3</strong>. Photographs of charred remains of<em> Juglans ailantifolia</em> and <em>Aesculus turbinata</em> from the Middle Yayoi period ash pit samples at the Ikegami archaeological site, Kumagaya City, Saitama Prefecture, Kanto region, Central Japan.</p> <p><strong>Supplementary Material S4</strong>. Description of the As-B tephra in the MJ20 sediment core from Morinji Marsh, Tatebayashi City, Gunma Prefecture, Kanto region, Central Japan.</p>
Fig. 42 in Diamonds in the rough: Ibotyporanga (Araneae, Pholcidae) spiders in semi-arid Neotropical environments
Fig. 42. Known geographic distribution of Brazilian species with plesiomorphic short procursus.
Selected Fungicides as Potential EDC Estrogenic Micropollutants in the Environment
<p>The aim of the conducted studies was to check the activity of active substances of selected fungicides: boscalid, cyprodinil and iprodione and to analyze their potential estrogenic activity. The studies were carried out using two model cell lines MCF-7 and T47D- KBluc. The cells were selected for their response to 17ß-estradiol, which meant that they could be used to study estrogenic or antiestrogenic activity of chemical substances. The cytotoxic activity of the fungicides tested was assessed using the MTT test on two cell lines. The estrogen receptor (ER) reporter gene test was performed, which is referred to as the T47D-KBluc test. The E-Screen test was performed on the MCF-7 line, the principle of which is based on the increased proliferation of human breast cancer cells in the presence of substances with potential estrogenic activity. ROS content and zeta potential were also estimated. </p>
Operational Dataset for Phased Array Radar Network for Natural Hazard Monitoring and Warnings in Urban Environments over the Greater Bay Area, China
<p>This is the dataset for the BAMS paper: Operational Phased Array Radar Network for Natural Hazard Monitoring and Warnings in<br>Urban Environments over the Greater Bay Area, China</p> <p>Due to policy restrictions, long-term data cannot be openly shared. Access to these data requires further arrangements through a formal agreement. For inquiries regarding data access, please contact us to discuss the terms and conditions.</p>
Data and code from: Phenotypic memory drives population growth and extinction risk in a noisy environment
<p>Random environmental fluctuations pose major threats to wild populations. As patterns of environmental noise are themselves altered by global change, there is growing need to identify general mechanisms underlying their effects on population dynamics. This notably requires understanding and predicting population responses to the color of environmental noise, i.e. its temporal autocorrelation pattern. Here, we show experimentally that environmental autocorrelation has a large influence on population dynamics and extinction rates, which can be predicted accurately provided that a memory of past environment is accounted for. We exposed near to 1000 lines of the microalgae <em>Dunaliella salina</em> to randomly fluctuating salinity, with autocorrelation ranging from negative to highly positive. We found lower population growth, and twice as many extinctions, under lower autocorrelation. These responses closely matched predictions based on a tolerance curve with environmental memory, showing that non-genetic inheritance can be a major driver of population dynamics in randomly fluctuating environments. </p>
Particle emission levels in the user operating environment of powder, ink and filament-based 3D printers
<p>Two videos (ABS-260°C-printing and PVA-220°C-printing) are the supporting information of Figure 4 in a paper published: "Particle emission levels in the user operating environment of powder, ink and filament-based 3D printers".</p>
Cave amphipods reveal co-variation between morphology and trophic niche in a low-productivity environment
<p>Datasets used to explore co-variation patterns between morphological traits and trophic niche in co-occurring <em>Niphargus</em> amphipods from five groundwater caves of the Dinaric Karst, Europe. We quantified gnathopod size and shape by means of morphometric measurements and assessed isotopic niche, trophic position, and carbon signatures using nitrogen (δ<sup>15</sup>N) and carbon (δ<sup>13</sup>C) stable isotopes. We provide morphometric and isotopic data for <em>Niphargus</em> specimens, and isotopic data for food resources sampled in the caves.</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.