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5,875 results for “lively”
CO2 and CH4 fluxes from living and standing dead trees in Howland Research Forest, Maine USA, 2024
Methane (CH4) is the second-largest contributor to human-induced climate change, with significant uncertainties in its terrestrial sources and sinks. Tree stems, both living and dead, play crucial roles in forest ecosystem CH4 and carbon dioxide (CO2) flux dynamics, yet much remains unknown regarding the environmental drivers of fluxes. We measured CH4 and CO2 fluxes from 51 living trees (Picea rubens, Tsuga canadensis, Acer rubrum) along an upland-to-wetland gradient at Howland Research Forest, a net annual sink of CH4, in Maine USA. We also measured CH4 and CO2 fluxes from six standing dead red spruce stems (snags). We measured fluxes every two weeks throughout the growing season (April to November 2024) and at three heights (for a subset of red spruce stems) to capture a range of environmental conditions.
Fast and long-term super-resolution imaging of ER nano-structural dynamics in living cells using a neural network
<p>Datasets acquired and generated for the manuscript "Fast and long-term super-resolution imaging of ER nano-structural dynamics in living cells using a neural network". The datasets include test, training and time series datasets each containing the raw data and the predicted data where it applies. </p>
Living Lab Station data Jun-Oct 2019, Sutherland Memorial Park, Guildford
<p>The data collected before and after hedge in Sutherland Memorial Park, Guildford using Living lab station during Jun-Oct 2019. </p>
Live-cell STED dataset of mitochondria containing ground truth and corresponding low intensity noisy images
<p>The dataset was acquired as part of the manuscript "Denoising diffusion models for high-resolution microscopy image restoration". The dataset contains ground truth and low intensity STED images of mitochondria acquired in live U2-OS cells stably expressing TOM20 coupled to the dead mutant of HaloTag7 which was made fluorescent by using the exchangeable ligand Hy4 bound to the fluorophore SiR. </p>
Live fuel in-flame flammability testing data
<p>Live fuel in-flame flammability testing data for white spruce in central Alberta collected in 2014</p>
A living catalogue of artificial intelligence datasets and benchmarks for medical decision making
<p>We provide a comprehensive curated catalogue of <strong>artificial intelligence datasets</strong> and <strong>benchmarks for medical decision making</strong>. At the time of first release (April 2021), the dataset contains more than 400 biomedical and clinical datasets of which 252 are publicly available or available upon request.</p> <p>The dataset was compiled based on a systematic literature review covering both biomedical and computer science literature and grey literature data sources. All datasets were manually systematized and annotated for meta-information, such as:</p> <ul> <li>Availability and licensing information</li> <li>Type of source data</li> <li>Links to source publications, main references or dataset repositories</li> </ul> <p>Benchmark dataset were additionally annotated for the following information:</p> <ul> <li>Associated task</li> <li>Performance metrics commonly used for evaluation</li> <li>Clinical relevance</li> <li>The availability of data splits</li> </ul> <p>In addition to the versioned TSV file on Zenodo, the dataset can also be explored live via <a href="https://docs.google.com/spreadsheets/d/1QjUxxnZ3tuyW5dj6nkt_o5yJcWUZec4ttfJxO8Zlty4/edit?usp=sharing">this Google Spreadsheet</a>. The dataset is intended as a living, extendable resource. Edit suggestions and additions are encouraged and can be submitted via the comment function of the Google sheet.</p> <p> </p> <p><strong>File descriptions</strong></p> <p><em>annotated-datasets.tsv</em> -- contains the annotated datasets</p> <p><em>arXiv-literature-export.tsv</em> -- contains the original literature record export from arXiv</p> <p><em>pubmed-literature-export.tsv</em> -- contains the original literature record export from PubMed</p> <p><em>README.md</em> -- contains a detailed description of all annotation fields</p>
Leaf moisture content (live-fuel moisture content) at global scale from passive microwave satellite observations of vegetation optical depth (VOD2LFMC)
<p><strong>Related paper:</strong> <a href="https://hess.copernicus.org/preprints/hess-2022-121/">Forkel et al. (2022)</a></p> <p>The VOD2LFMC dataset contains estimates of leaf moisture content as defined as live-fuel moisture content (LFMC) derived from passive microwave satellite observation of vegetation optical depth (VOD). LFMC is defined as the fresh mass of a leaf over the dry mass and is expressed in %:</p> <p><span class="math-tex">\(LFMC = {m_{fresh}-m_{dry}\over m_{dry}}*100\%\)</span></p> <p>LFMC was estimated from the <a href="https://doi.org/10.5281/zenodo.2575599">VODCA version 1</a> dataset of Ku-band VOD using the model approach “B” as described in Forkel et al. (2022).</p> <p>The file VOD2LFMC-B_v01_2000-2017.zip contains (unzipped ~ 57 GB):</p> <ul> <li>daily global data per month netCDF files</li> <li>a README file</li> <li>Ancillary file VOD2LFMC-B_v01_support-by-obs.nc</li> </ul> <p>Grid, time and variable definitions:</p> <ul> <li> <p>Grid-name: Geographic Lat/Lon</p> </li> <li> <p>Pixel-size: 1/4 degrees</p> </li> <li> <p>Size-x: 1440</p> </li> <li> <p>Size-y: 557</p> </li> <li> <p>Time period: February 2000 – July 2017</p> </li> <li> <p>Temporal resolution: daily</p> </li> <li> <p>Variable: Live-fuel moisture content (LFMC) in %</p> </li> <li> <p>Valid-range: 0-400%</p> </li> </ul> <p> </p>
Live Fuel Moisture Content Mapping in the Mediterranean Basin Using Random Forests and Combining MODIS Spectral and Thermal Data
<p>Live fuel moisture content (LFMC), defined as the mass of water in the foliage and small twigs relative to its total dry mass, is a key factor affecting fire potential and determining wildfire danger and activity. Fuel moisture is directly related to the amount of energy needed to evaporate water before ignition. Consequently, high moisture values reduce, or even inhibit, ignitability and subsequent fire spread.</p> <p>To cover the absence of a specific model to estimate LFMC for the Mediterranean Basin at the sub-continental scale, we built an empirical model based on Random Forests (LFMC<sub>RF</sub>) and combining MODIS spectral bands, vegetation indices, land surface temperature, and the day of year as predictors. The details on the modeling and validation methods, and the accuracy of the estimates are in the related publication <strong><a href="https://doi.org/10.3390/rs14133162">Cunill Camprubí et al., 2022</a></strong>.</p> <p>This dataset contains a collection of weekly LFMC maps from February 2000 to December 2021. The maps cover the Mediterranean and part of the Temperate biomes of the Mediterranean Basin. File <em>mapping_area_LFMC-RF_W-1.0.png</em> shows the target mapping areas.</p> <p>Metadata:</p> <ul> <li>Spectral Information: MODIS MCD43A4 C.6</li> <li>Land Surface Temperature: MODIS MOD11A2 C.6</li> <li>Land Cover Mask: MODIS MCD12Q1 C.6</li> <li>Coordinate Reference System: Native MODIS Sinusoidal</li> <li>Temporal Resolution: Weekly (W)</li> <li>Spatial Resolution: ~500 m</li> <li>File Format: NetCDF v.4</li> <li>Scale Factor: 0.01</li> </ul> <p>Fundings:</p> <p>The study was funded by the MICINN (RTI2018-094691-B-C31), European Union’s Horizon 2020-Research and Innovation Framework Programme under grant agreement no. 101003890 project FirEUrisk, the National Natural Science Foundation of China (U20A20179, 31850410483), and the talent proposals in Sichuan Province (2020JDRC0065) from Southwest University of Science and Technology (18ZX7131).</p>
Respectable Standards of Living: The Alternative Lens of Maintenance Costs, Britain 1270-1860
<p>Data set and code book. Replication materials for paper accepted in Economic History Review, April 2024.</p> <p>Abstract </p> <p><span>This paper argues that in all societies there is considerable agreement about what goods and services are needed to provide a decent living, and that this standard can be measured by the expense involved in maintaining people of good standing.<span> </span><span> </span>Maintenance costs include two components of living costs that are neglected in conventional approaches.<span> </span>First, in contrast to the usual focus on a fixed basket of commodities, maintenance costs capture changes in the composition and quality of the goods required for a respectable lifestyle.<span> </span>Second, unlike the conventional accounting they include the costs of the household services required to turn the basket commodities into livings. Ignored in the conventional methodology, the inclusion of these costs represents a core innovation. More than 4600 observations, drawn mainly from primary sources, trace levels and trends in maintenance costs for Britain, 1270-1860. <span> </span>These can be compared with established cost of living indicators to offer a complementary perspective on real consumption that accommodates aspirational goods and the input of household labour.<span> </span>The struggle to support families at respectable standards emerges as driving industriousness and motivating prudence among a class that played a major role in economic development.<span> </span><span> </span></span></p> <p> </p>
Artifact for "Does Task Complexity Moderate the Benefits of Liveness? - A Controlled Experiment"
<p>This artifact includes the setup, data, and analysis for the experiment described in the article "Does Task Complexity Moderate the Benefits of Liveness? - A Controlled Experiment" published in the journal "The Art, Science, and Engineering of Programming<em>" </em>Volume 9.</p> <p>The artifact has the following structure:</p> <ul> <li> <p>experiment-setup</p> <ul> <li>experiment-environment.zip: Archive including the fully configured Squeak/Smalltalk environment</li> <li>experiment-protocol.pdf: Full protocol for conducting the experiment</li> <li>system: Includes the base system used for the experiment without any seeded faults</li> <li>tasks <ul> <li>task-descriptions.txt: The task descriptions of steps to reproduce and symptoms for the tasks used in the experiment</li> <li>patches: Patch files for all generated tasks</li> </ul> </li> <li>infrastructure: Contains source code of the tools used for controlling tasks in the development environment</li> <li>questionnaire <ul> <li>survey.dfglive.2023-01-06.xml: Questionnaire configuration for a SoSci survey server, includes demographics, experience, and skill questionnaire</li> </ul> </li> </ul> </li> <li> <p>results</p> <ul> <li>data <ul> <li>export-NN.zip: Each archive contains the raw data from one run <ul> <li>starTrackData-NN: Contains the detailed event log</li> <li>experimentState.json: Contains the measurements and the final state for each task (completed, notStarted, etc.)</li> <li>skillTestResult-NN.json: Contains the score reached in the skill test</li> <li>task-X-NN.cs: The submitted patch for task X</li> </ul> </li> </ul> </li> <li>questionnaire <ul> <li>data_dfglive-analysis.ods: Demographics and experience questionnaire results (gender column is redacted due to potential deanonymization)</li> <li>results of skill test are only available in graded form in the participant export files</li> </ul> </li> </ul> </li> <li> <p>analysis</p> <ul> <li>analysis-r: Main analysis scripts <ul> <li>main.R, main-contrast-based.R: Two versions of the main and moderation effect analysis using two different processes</li> <li>live-tools-usage-time.R: Main and moderation effect analysis on tool usage</li> <li>demographics.R: Analysis of demographics and rendering of charts</li> </ul> </li> <li>analysis-tool-usage-correlation: Includes scripts to extract tool usage frequencies from the event logs. Assumes that export-NN.zip files are in the parent folder.</li> </ul> </li> </ul>
Portuguese Live Fuel Moisture Content product
<p>This product contains a 2500m LFMC 8-day LFMC between 2017 and 2024 over the continental Portugal.<br><br>Metadata:</p> <p>Number of rows: 180<br>Number of columns: 240<br>Cell size: 0.025<br>File Format: netCDF4<br>Coordinate Reference System: GCS_WGS_1984 - EPSG 4326</p> <p>Files:</p> <ul> <li>LFMC_count - number of valid images for the entire period.</li> <li>LFMC_value - LFMC values product </li> </ul> <p>Fundings:</p> <p>Filippe Santos was supported by the Portuguese Foundation for Science and Technology, I.P (Grant 2022.11960.BD).<br>This research was funded by national funds through FCT-Foundation for Science and Technology, I.P. under the PyroC.pt project (Refs. PCIF/MPG/0175/2019), ICT project (Refs. UIDB/04683/2020 and UIDP/04683/2020). This research was co-funded by the European Union through the European Regional Development Fund (FEDER) in the framework of the Interreg VI-A España-Portugal (POCTEP) 2021-2027, FIREPOCTEP+ (0139_FIREPOCTEP_MAS_6_E).</p> <p> </p>
Subcellular behavior model enables highly precise temporal super-resolved live-cell imaging
<div> <div>This repository contains the preprocessed dataset for [SuB-VFI](https://github.com/sduzzx857/SuB-VFI), including the real datasets we collected and the simulated testing and training datasets. You can refer to the Github repository for details.</div> <div> </div> <div>The simulated testing datasets can be downloaded from [the 2014 ISBI Particle Tracking Challenge](http://bioimageanalysis.org/track/).</div> <div>The EB1 datasets can be downloaded from the paper [The dynamic behavior of the APC-binding protein EB1 on the distal ends of microtubules](https://www.cell.com/current-biology/fulltext/S0960-9822(00)00600-X?_returnURL=https%3A%2F%2Flinkinghub.elsevier.com%2Fretrieve%2Fpii%2FS096098220000600X%3Fshowall%3Dtrue). We used *Movie2* from the Supplementary data.</div> <br> <div>The CCR5 datasets can be downloaded from the paper [Tracking receptor motions at the plasma membrane reveals distinct effects of ligands on CCR5 dynamics depending on its dimerization status](https://elifesciences.org/articles/76281). We used *Video4* in the Results section. </div> <div> </div> <div>The Lysosome datasets can be downloaded from [Content-Aware Frame Interpolation Microscopy Datasets](https://zenodo.org/records/10076346). We used data from the `Zproject` folder within the compressed file `Source_Data_Lysosomes_z-proj_Fig_5.zip`</div> </div>
Resident survey data for Living Lab regions
<p>The datasets present collected data through resident surveys on the perceptions on tourism development and the state of cultural heritage, as part of the Horizon 2020 funded project SmartCulTour (<a href="http://www.smartcultour.eu">www.smartcultour.eu</a>).</p> <p>The data is collected <strong>on individual respondent level</strong> for Local Administrative Units (LAUs) for the following municipalities/cities:</p> <ul> <li>Spain: Huesca, Graus, Benasque, Barbastro, Ainsa, Jaca, Sariñena</li> <li>the Netherlands: Rotterdam, Dordrecht, Molenlanden, Ridderkerk, Zwijndrecht, Barendrecht, Delft</li> <li>Belgium: Dendermonde, Puurs-Sint-Amands, Bornem, Berlare, Aalst, Denderleeuw, Willebroek</li> <li>Croatia: Split, Trogir, Kaštela, Solin, Sinj, Dugopolje, Klis</li> <li>Finland: Utsjoki</li> <li>Italy: Vicenza, Caldogno, Grumolo, Pojana Maggiore, Lonigo, Montagnana</li> </ul> <p>The data is presented as cross-sectional data and available for the following <strong>year</strong>: 2020.</p> <p>Please consult the <strong>metadata</strong> on each dataset for an overview of collected indicators and units of measurement.</p>
Live cribwall + slope grating + fascines drainage system - soil-water dynamics
<p>Dataset containing raw time series (August 2022) for soil-water dynamics -i.e., volumetric soil moisture, matric suction, soil-pore water pressure, and soil temperature - retrieved from a live, vegetated cribwall+slope grating+fascines drainage system built in Catterline, Scotland. NBS intervention built to restore a landslide taking place in February 2021. </p>
Awareness, treatment, and control among adults living with arterial hypertension or diabetes mellitus in two rural districts in Lesotho
<p>These are pseudo-anonymised data from the ComBaCaL survey and belong to the manuscript "Awareness, treatment, and control among adults living with arterial hypertension or diabetes mellitus in two rural districts in Lesotho". </p> <p>The data dictionary explains the critical data available in the dataset. Between November 2021 and August 2022 , 6061 participants over 18 years old were visited in their households in two districts of Lesotho. Of these, data from those who were diagnosed with either hypertension or diabetes were further analysed and are documented here.</p>
Consumption rates of tethered live and dead pinfish and dried squid in mudflat and seagrass habitats in the Upper Laguna Madre in 2018.
These data were recorded during surveys of a tethering experiment conducted on June 7, 2018, during which 180 tethered prey were deployed in two habitat types (seagrass and mudflat) in the Upper Laguna Madre, Texas, USA (27.544006, -97.285912). In each habitat, the following prey types were deployed: squidpops (1 cm2 discs of dried squid (Duffy et al. 2015) attached to 5 cm tethers, n=50), live (n=20) and dead (n=20) pinfish (Lagodon rhomboides, 4 cm fork length, attached to 20 cm tethers) at midday in each habitat. The presence/absence of tethered prey on each stake was observed and recorded after 1 hour and 24 hours. The rate of decay (i.e., disappearance or consumption rate of tethered prey over time) was calculated as the slope of an exponential model fit to discrete observations of the presence/absence of tethered prey over time. Additional environmental variables (temperature, salinity) were also recorded at the site.
Alaska 2004 Burns: Counts of live and dead seedlings of lodgepole pine in a post-fire seeding experiment at 39 sites
This dataset contains counts of emerged seedlings of lodgepole pine from seeds sown in an experimental seeding study. The experiment started in 2005 at sites that burned in 2004 in interior Alaska. Records are from a set of 39 intensive study sites that were formerly dominated by black spruce along the Steese, Taylor, and Dalton highways. Seeds were sown in five 50 x 50 cm quadrats at each site in August 2005 and most emerged in early summer 2005. Seedling counts were measured for 6 years, in 2006, 2007 2008, and 2011. All pine seedlings were removed in 2011.
MCR LTER: Coral Reef Resilience: Live and Dead Pocillopora and Acropora Coral Colony Time Series from 2006 to 2011
These data describe the abundance, size structure, and morphologies of living and dead corals belonging to the genera Pocillopora and Acropora on the forereef (depth = 10 meters) in 2006, 2009, 2010, and 2011. Data were derived from a randomly chosen subset of photo quadrats associated with knb-lter-mcr.4. For each quadrat, individual coral colonies were identified to genus, scored as living or dead, and the total area of their footprint calculated. In addition, branch morphology was scored on a scale from 1 to 3, with 1 representing very tight spacing, and 3 representing open spacing among adjacent branches. This material is based upon work supported by the U.S. National Science Foundation under Grant No. OCE 16-37396 (and earlier awards) as well as a generous gift from the Gordon and Betty Moore Foundation. Research was completed under permits issued by the French Polynesian Government (Délégation à la Recherche) and the Haut-commissariat de la République en Polynésie Francaise (DTRT) (Protocole d'Accueil 2005-2018). This work represents a contribution of the Moorea Coral Reef (MCR) LTER Site.
Living Lab Station data Feb-Sept 2019, Stoke Park, Guildford
<p>Data collected before and after hedges in Stoke Park, Guildford using Living lab stations.</p>
FLAME Project, Open Call 3, FC5 Live Trial
<p>This dataset contains the RAW data recorded during the FC5 Live trial, Open Call 3, FLAME project.<br> The dataset contains the following data:<br> • Server-side metrics: log data of all involved nodes from CLMC (CPU, mem used, bandwidth used)<br> • Client-side metrics: Bitrate, latency, and buffering<br> • Users’ feedback: questionnaires (CSV)</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.