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4,669 results for “Environment;”

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zenodo32/100

Fig. 2 in The hydroperoxyl and superoxide anion radical scavenging activity of anthocyanidins in physiological environments: Theoretical insights into mechanisms and kinetics

Fig. 2. Optimized geometries of TSs following the FHT mechanism between the selected compounds and HOO• radicals (P: pentyl ethanoate).

opennotspecifiedDec 2021View details →
zenodo32/100

Genetic adaptations of sea anemone to hydrothermal environment

<p>Supplementary Data for</p> <p>Genetic adaptations of sea anemone to hydrothermal environment</p>

opencc-by-4.0Jul 2024View details →
dryad32/100

Use climatic space-for-time substitutions with care: not only climate, but also local environment affect performance of the key forest species bilberry along elevation gradient

<p><span>An urgent aim of ecology is to understand how key species relate to climatic and environmental variation, to better predict their prospects under future climate change. The abundant dwarf shrub bilberry (<em>Vaccinium myrtillus</em> L.) has caught particular interest due to its uphill expansion into alpine areas. Species' performance under changing climate has been widely studied using the climatic space-for-time approach along elevation gradients, but potentially confounding, local environmental variables that vary along elevation gradients have rarely been considered. In this study, performed in ten sites along an elevation gradient (200–875 m) in W Norway, we recorded species composition and bilberry performance, both vegetative (ramet size and cover) and reproductive (berry and seed production) properties, over one to four years. We disentangled effects of local environmental variables and between-year, climatic variation (precipitation and temperature), and identified shared and unique contributions of these variables by variation partitioning. We found bilberry ramet size, cover, and berry production to peak at intermediate elevations, whereas seed production increased upwards. The peaks were less pronounced in extreme (dry or cold) summers than in normal summers. Local environmental variables explained much variation in ramet size and cover, less in berry production, and showed no relation to seed production. Climatic variables explained more of the variation in berry and seed production than in ramet size and cover, with temperature relating to vegetative performance, and precipitation to reproductive performance. Bilberry's clonal growth and effective reproduction probably explain why the species persists in the forest and at the same time invades alpine areas. Our findings raise concerns about the appropriateness of the climatic space-for-time approach. We recommend including both climatic and local environmental variables in studies of variation along elevation gradients, and conclude that variation partitioning can be a useful supplement to other methods for analysing variation in plant performance. </span></p>

opencc-zeroAug 2023View details →
dryad32/100

Assessing the comparative effects of storm-relative helicity components within right-moving supercell environments

<p>Supercell thunderstorms develop low-level rotation via tilting of environmental horizontal vorticity (ω<sub>h</sub>) by the updraft. This rotation induces dynamic lifting that can stretch near-surface vertical vorticity into a tornado. Low-level updraft rotation is generally thought to scale with 0–500 m storm-relative helicity (SRH): the combination of storm-relative flow, |SRF|, |ω<sub>h</sub>|, and cosφ (where φ is the angle between SRF and ω<sub>h</sub>). It is unclear how much influence each component of SRH has in intensifying the low-level mesocyclone. This study surveys these three components using self-organizing maps (SOMs) to distill 15,906 proximity soundings for observed right-moving supercells. Statistical analyses reveal the component most highly correlated to SRH and to streamwise vorticity (ω<sub>s</sub>) in the observed profiles is |ω<sub>h</sub>|. Furthermore, |ω<sub>h</sub>| and SRF are themselves highly correlated due to their shared dependence on the hodograph length. The representative profiles produced by the SOMs were combined with a common thermodynamic profile to initialize quasi-realistic supercells in a cloud model. The simulations reveal that, across a range of real-world profiles, intense low-level mesocyclones are most closely linked to ω<sub>h</sub> and SRF, while the angle between them appears to be mostly inconsequential.</p>

opencc-zeroAug 2023View details →
zenodo32/100

Data, Code and Computational Environment for: Wild olive tree genetic diversity in Greece: a diverse resource in danger of erosion

<p><strong>Data</strong></p> <p>The csv file &quot;2023-06-27_data.csv&quot; contains genetic profiles for all olive trees analyzed in the publication: Wild olive tree genetic diversity in Greece: a diverse resource in danger of erosion&quot;. The genotypes are provided in the GenAlEx format.</p> <p>&nbsp;</p> <p><strong>Code</strong></p> <p>Code is provided in the compressed folder &quot;Tourvas_et_al_Olive&quot;. It is structured as a R project and can easily be opened, after decompressing, from the Rstudio interface. If you prefer to review and/or reuse code you can access it from the &quot;analysis&quot; folder inside the &quot;Tourvas_et_al_Olive&quot; folder.</p> <p>&nbsp;</p> <p><strong>Computational Environment</strong></p> <p>A tarball for the Docker image &quot;tourvas_et_al_olive&quot; is also provided. This is the recommended way to reproduce the results of the publication: &quot;Wild olive tree genetic diversity in Greece: a diverse resource in danger of erosion&quot;.</p> <p>It is assumed that you already have Docker installed on your system. If not, please visit <a href="https://docs.docker.com/get-started/">https://docs.docker.com/get-started/</a></p> <p>To use it:</p> <ul> <li>download the image file tourvas_et_al_olive.tar</li> <li>load it with docker with the command:</li> </ul> <pre><code class="language-bash">docker load --input tourvas_et_al_olive.tar</code></pre> <ul> <li>then launch the Docker container with the command:</li> </ul> <pre><code class="language-bash">docker run --name popgen --rm -dp 8787:8787 -e ROOT=TRUE -e DISABLE_AUTH=true -v "`pwd`":/home/rstudio/working nikostourvas/tourvas_et_al_olive</code></pre> <ul> <li>start your favorite web browser and go to: http://localhost:8787/</li> <li>from the bottomright pane of the Rstudio server click on the directory &quot;Tourvas_et_al_Olive&quot; and open the project by clicking on the &quot;Tourvas_et_al_Olive.Rproj&quot; file</li> <li>launch the scripts inside the &quot;analysis&quot; directory and run them to reproduce results</li> </ul>

opencc-by-4.0Jun 2023View details →
zenodo32/100

Dataset for "Improving data quality of low-cost light-scattering PM sensors: Towards automatic air quality monitoring in urban environments"

<p>The dataset contains the data used in the article "Improving data quality of low-cost light-scattering PM sensors: Towards automatic air quality monitoring in urban environments".</p> <p>A low-cost monitoring system composed of 14 monitoring stations was positioned at the official monitoring station of Torino Rubino in the city of Turin (Italy). The official station is managed by the environmental agency ARPA Piemonte.</p> <p>Each low-cost station contains four low-cost light-scattering PM sensors (Honeywell HPMA115S0-XXX), one temperature and relative humidity sensor (DHT22), and one atmospheric pressure sensor (BME/BMP280).<br>The sampling time of the PM sensors was set to one second, while the other sensors generated measurements every 3-4 seconds.</p> <p>The official monitoring station uses both a gravimetric and a beta attenuation instrument for measuring PM.</p> <p>The data contained in this dataset was collected from October 2020 to November 2021. It contains the PM2.5, relative humidity, and temperature measurements of the low-cost monitoring system and the official measurements of the beta attenuation device.</p> <p>Measurements of low-cost sensors are expressed in UTC, while official measurements are expressed in UTC+1.</p> <p>Official PM measurements can be also found at https://aria.ambiente.piemonte.it/qualita-aria/dati.</p>

opencc-by-4.0Sep 2023View details →
zenodo32/100

Data set for article: Intimate Partner Violence and Emotional Exhaustion: A Female Gender Perspective in the University Environment

<p>Data set for article: Intimate Partner Violence and Emotional Exhaustion: A Female Gender Perspective in the University Environment&nbsp;</p>

opencc-by-4.0Sep 2023View details →
zenodo32/100

3D printed models are an accurate, cost-effective, and reproducible tool for quantifying terrestrial thermal environments

<p>Dataset used in Alujević&nbsp;et al. 2023. 3D printed models are an accurate, cost-effective, and reproducible tool for quantifying terrestrial thermal environments.&nbsp;</p>

opencc-by-4.0Oct 2023View details →
zenodo32/100

Colloidal pathways of amorphous calcium carbonate formation lead to distinct water environments and conductivity

<p>Experimental data associated with Gindele et al.<i>&nbsp;Colloidal pathways of amorphous calcium carbonate formation lead to distinct water environments and conductivity</i>,&nbsp;<i>Nature Communications.</i></p>

opencc-by-4.0Oct 2023View details →
zenodo32/100

Environment - Shinto Valley

Source: Objaverse 1.0 / Sketchfab

opencc-byFeb 2022View details →
ClinicalTrials.gov32/100

Supervision Models in Training Environments

ClinicalTrials.gov study NCT05075278. IPD Sharing: NO. Countries: 1. Publications: 4.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

One Nutrition in Complex Environments (ONCE)

ClinicalTrials.gov study NCT04209569. IPD Sharing: YES. Countries: 1. Publications: 25.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov32/100

The Effect of a Diabetic- and a Kidney-like Environment on Gene and Protein Expression in Cultured EC and SMC

ClinicalTrials.gov study NCT01423279. IPD Sharing: Not stated. Countries: 1. Publications: 4.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Cultivating Healthy Environments in Families With Type 1 Diabetes (CHEF)

ClinicalTrials.gov study NCT00999375. IPD Sharing: Not stated. Countries: 1. Publications: 13.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Use of an Adaptive Sensory Environment in Autism Spectrum Disorder (ASD) Patients in the Perioperative Environment

ClinicalTrials.gov study NCT04994613. IPD Sharing: NO. Countries: 1. Publications: 13.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Assessment of Preoxygenation Strategies in the Prehospital Environment

ClinicalTrials.gov study NCT02694705. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Healthy Environments Study (HEROs)

ClinicalTrials.gov study NCT04743531. IPD Sharing: UNDECIDED. Countries: 1. Publications: 6.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

The Use of Quetiapine (Seroquel) in the Treatment of Social Phobia: Public Speaking Environment

ClinicalTrials.gov study NCT00407199. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Effects of Balance Training Exercises on Mobility in Open and Closed Environment in Children With Visual Impairments.

ClinicalTrials.gov study NCT05787223. IPD Sharing: NO. Countries: 1. Publications: 2.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Modifying the Home Television Watching Environment

ClinicalTrials.gov study NCT00065052. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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