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3,480 results for “a value”
Data set of strain, differential phase, RS value, strain and PGV.
<p>The data stored here is the observations of strain, differential phase, RS value, strain and PGV in the paper of ‘<span>Potential of Earthquake Strong Motion Observation Utilizing a Linear </span><span>Estimation</span><span> Method for Phase Cycle Skipping in Distributed Acoustic Sensing</span>’, by Katakami et al.</p>
Stimuli from: AwarePrompt: Using Diffusion Models to Create Methods for Measuring Value-Aware AI Architectures
<p>Stimuli generated using a Diffusion Model from the paper "AwarePrompt: Using Diffusion Models to Create Methods for Measuring Value-Aware AI Architectures".</p> <p>Please cite as:<br><span>Ciupinska, K.; Marchesi, S.; Abbo, G. A.; Belpaeme, T. and Wykowska, A. (2024). <strong>AwarePrompt: Using Diffusion Models to Create Methods for Measuring Value-Aware AI Architectures</strong>. In <em>Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: AWAI</em>; ISBN 978-989-758-680-4; ISSN 2184-433X, SciTePress, pages 1436-1443. DOI: 10.5220/0012596400003636</span></p>
Data from: Value-related learning in the olfactory bulb occurs through pathway-dependent peri-somatic inhibition of mitral cells
<p>Associating values to environmental cues is a critical aspect of learning from experiences, allowing animals to predict and maximise future rewards. Value-related signals in the brain were once considered a property of higher sensory regions, but their wide distribution across many brain regions is increasingly recognised. Here, we investigate how reward-related signals begin to be incorporated, mechanistically, at the earliest stage of olfactory processing, namely, in the olfactory bulb. In head-fixed mice performing Go/No-Go discrimination of closely related olfactory mixtures, rewarded odours evoke widespread inhibition in one class of output neurons, that is, in mitral cells but not tufted cells. The temporal characteristics of this reward-related inhibition suggest it is odour-driven, but it is also context-dependent since it is absent during pseudo-conditioning and pharmacological silencing of the piriform cortex. Further, the reward-related modulation is present in the somata but not in the apical dendritic tuft of mitral cells, suggesting an involvement of circuit component located deep in the olfactory bulb. Depth-resolved imaging from granule cell dendritic gemmules suggests that granule cells that target mitral cells receive a reward-related extrinsic drive. Thus, our study supports the notion that value-related modulation of olfactory signals is a characteristic of olfactory processing in the primary olfactory area and narrows down the possible underlying mechanisms to deeper circuit components that contact mitral cells peri-somatically.</p>
Diagnostic and prediction value of synthetic magnetic resonance imaging in acute ischemic stroke patients
<p>This is the supplementary tables for the above paper, mainly including original statistical analysis data.</p>
Trait values of European tetrapods archetypes
<p>This dataset contains trait values used to identify archetype groups among European tetrapods. The<span><span> file </span><span>includes</span><span> 8 data sheets, one for each homogeneous group of </span><span>tetrapods and one sheet about references</span><span>.</span></span><span> </span></p>
Data from: Forecasting nocturnal bird migration for dynamic aeroconservation: the value of short-term dataset
<p>Placing wind turbines within large migration flyways, such as the North Sea basin, can contribute to the decline of vulnerable migratory bird populations by increasing mortality through collisions. Curtailment of wind turbines limited to short periods with intense migration can minimize these negative impacts, and near-term bird migration forecasts can inform such decisions. Although near-term forecasts are usually created with long-term datasets, the pace of environmental alteration due to wind energy calls for urgent development of conservation measures that rely on existing data, even when it does not have long temporal coverage. Here, we use five years of tracking bird radar data collected off the western Dutch coast, weather, and phenological variables to develop seasonal near-term forecasts of low-altitude nocturnal bird migration over the southern North Sea. Overall, the models explained 71% of the variance and correctly predicted migration intensity above or below a threshold for intense hourly migration in more than 80% of hours in both seasons. However, the percentage of correctly predicted intense migration hours (top 5% of hours with the most intense migration) was low, likely due to the short-term dataset and their rare occurrence. We, therefore, advise careful consideration of a curtailment threshold to achieve optimal results. Synthesis and applications: Near-term forecasts of migration fluxes evaluated against measurements can be used to define curtailment thresholds for offshore wind energy. We show that to minimize collision risk for 50% of migrants, if predicted correctly, curtailments should be applied during 18 hours in spring and 26 in autumn in the focal year of model assessments, resulting in an estimated annual wind energy loss of 0.12%. Drawing from the Dutch curtailment framework, which pioneered the 'international first' offshore curtailment, we argue that using forecasts developed from limited temporal datasets alongside expert insight and data-driven policies can expedite conservation efforts in a rapidly changing world. This approach is particularly valuable in light of increasing interannual variability in weather conditions.</p>
Dataset/paper - The Effects of US Monetary Policy on Value Stocks and Growth Stocks
<p>Paper dataset - The Effects of US Monetary Policy on Value Stocks and Growth Stocks. The data were obtained from public databases (Yahoo Finance and Board of Governors of the Federal Reserve System), as described in the paper's methodology, and were used to estimate the VEC model, which supported the final considerations of the research.</p>
Conus-wide Analysis of Manning's n Values
<p>The datasets utilized in this study were derived from extensive global research initiatives. Specifically, the United States Geological Survey (USGS) compiled HYDRoSWOT, an assemblage of HYDRoacoustic data supporting the Surface Water Oceanographic Topography satellite mission. This compilation encompasses over 200,000 Acoustic Doppler Current Profiler (ADCP) surveys conducted at numerous sites throughout the United States.</p><p>The MODIS instrument, situated on the Terra and Aqua satellite missions, generated the MOD13Q1 V6.1 product, offering information on the Normalized Difference Vegetation Index (NDVI). This product serves as a continuity index to the pre-existing National Oceanic and Atmospheric Administration-Advanced Very High-Resolution Radiometer (NOAA-AVHRR) derived NDVI. Sand and clay content data were acquired as percentages (kg/kg) at six standard depths (0, 10, 30, 60, 100, and 200 cm); however, only depths of 0 and 10 cm were considered in this investigation.</p><p>The Aridity Index (AI), depicting the ratio between precipitation and evapotranspiration aggregated annually, was sourced from the Global Aridity Index Version 2 dataset. This dataset provides high-resolution global raster climate data pertaining to evapotranspiration processes and rainfall deficit for potential vegetative growth.</p><p>Slope information was determined utilizing the National Hydrography Dataset version 2 (NHDPlus V2) and subsequently averaged for each reach. Additionally, the median streambed particle size (D50) across rivers within the conterminous United States (CONUS) was incorporated as an input variable in the analysis.</p>
Raw data of surface texture parameter values (incl. output of statistical tests).
<p>This is the raw data (supplement 3) of the publication with the title "Prey size reflected in tooth wear – a comparison of two wolf populations from Sweden and Alaska" written by: Ellen Schulz-Kornas, Mirella H. Skiba and Thomas M. Kaiser and accepted for publication as manuscript RSFS-2023-0070.R1 in the journal Interface Focus on 2-April 2024.</p> <p> </p>
Dataset on rapid sensory methods for cured hams and associations with consumer values in the Schwartz model
<p>A data set comprising data from N=127 consumers. Consumers answered the Schwartz Portrait Values questionnaire with 21 items. Later the same consumers rated blind and informed liking for eight types of cured hams, performed projective mapping based on tasting and on front-and back of pacg images, CATA on usages and values associated with the hams. </p> <p>Data collection procedures are described in attached pdf document, whereas all data is available as an excel file, including the metadata. </p>
The mechanism of amyloid fibril growth from Φ-value analysis - data and analysis repository
<p>Data used for analysis and figure production. Full MD-simulation dataset is available at https://github.com/Aunstrup/_2024_amyloid_PI3KSH3_Phivalues. </p>
Classification and structural analysis of value chain contracts for biodiversity conservation in the European Union
<p><span>The data provided by this dataset are the raw data published in the paper "<strong>Classification and structural analysis of value chain contracts for biodiversity conservation in the European Union</strong>" (<a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.sftr.2024.100372" target="_blank" rel="noopener"><span><span>https://doi.org/10.1016/j.sftr.2024.100372</span></span></a>). </span></p>
The adaptive value of recombination in resolving intralocus sexual conflict by gene duplication.
<p>Datasets and code for the study titled "The adaptive value of recombination in resolving intralocus sexual conflict by gene duplication".</p>
Data from: Deciduous forests hold conservation value for birds within South Andaman Island, India
<p>We assessed the importance of deciduous and evergreen habitats for forest birds (including several endemic and threatened species) within South Andaman Island, India. To this end, we compared the composition and diversity (taxonomic, functional and phylogenetic) of forest birds across the two habitat types, and evaluted species-specific responses to habitat variables within the island.</p> <p>The dataset collected and R codes used in this study are published here. Bird species traits were sourced from Tobias et al. (2022) and Wilman et al. (2014). Phylogenetic trees were sourced from <a href="https://birdtree.org/">birdtree.org</a> (Jetz et al. 2012).</p> <p><br><strong>Taxonomic Coverage: </strong>Birds, 54 species</p> <p><strong>Geographic Coverage:</strong> South Andaman Island, Andaman and Nicobar Islands, India</p> <p><strong>Temporal Coverage:</strong> March-May 2022 and December 2022-April 2023</p> <p> </p> <p><strong>Brief summary of field methods: </strong><br>We conducted line-transect surveys for forest birds across evergreen and deciduous forests in South Andaman Island, India. <br>Twenty-seven transects were sampled either in the morning (between 0515 – 0930 hrs) or in the afternoon (between 1515 – 1730 hrs) from March-May 2022 and December 2022-April 2023. For every bird detected, we noted species identity, group size (if visible), time of detection, and whether the bird(s) was seen or heard. Detections of flying birds and nocturnal species (owls and nightjars) were excluded.<br>For each transect, we measured - <br>a. tree density and basal area (using the point-centered quarter method, or PCQ); <br>b. canopy cover, proportion of deciduous trees, and presence of cane, bamboo runners and clumps of standing bamboo (averaged across PCQ points);<br>c. number of large trees and cut logs (counted within a 20m-wide belt along each transect); and <br>d. distance from nearest settlement/village (using Google Earth Pro).</p> <p>The dataset published here contains eight data files and two R code files, along with a <strong>ReadMe.txt</strong> file that explains each of these files.</p> <p> </p> <p><strong>Funding:</strong></p> <p>Science and Engineering Research Board (Govt. of India) - SRG/2021/001523</p> <p>The Rufford Foundation</p> <p>The Rauf Ali Fellowship</p> <p>Arvind Datar</p> <p>Rohini Nilekani Philanthropies</p> <p> </p> <p><strong>References:</strong></p> <p>Jetz, W., G. H. Thomas, J. B. Joy, K. Hartmann, and A. O. Mooers. 2012. The global diversity of birds in space and time. Nature 491:444–448.<br>Tobias, J. A., C. Sheard, A. L. Pigot, A. J. M. Devenish, J. Yang, et al. 2022. AVONET: morphological, ecological and geographical data for all birds. Ecology Letters 25:581–597.<br>Wilman, H., J. Belmaker, J. Simpson, C. de la Rosa, M. M. Rivadeneira, and W. Jetz. 2014. EltonTraits 1.0: Species-level foraging attributes of the world’s birds and mammals. Ecology 95:2027–2027.</p>
The global fish and invertebrate abundance value of mangroves dataset
<p>This dataset is the species and species group predictions of the density of 37 commercially important fish and invertebrates that are known to extensively use mangroves. All methods are provided in detail in the accompanying manuscript, zu Ermgassen <em>et al. </em>(2025) Mangroves support an estimated annual abundance of over 700 billion juvenile fish and invertebrates. </p> <h2>Description of files</h2> <ul> <li>Mangrove_commercial_fauna_density_data_references.csv: this is the raw data used to create the linear model using generalized least squares relating the fish density values to the covariate data</li> </ul> <p><strong>R Scripts & Data</strong></p> <ul> <li>This folder contain several R scripts and data files to used calculate the values in zu Ermgassen <em>et al. </em>(2025) Mangroves support an estimated annual abundance of over 700 billion juvenile fish and invertebrates. </li> </ul> <p><strong>Predictions</strong>*</p> <p>Species Predictions</p> <ul> <li>all_sp_fit_fn.csv: the mean predicted species density for 37 commercially important fish and invertebrates for a grid with a spatial resolution of 1km2.</li> <li>all_sp_fit_fn_lower.csv: the lower (1.96 * standard error of the model fit) predicted species density for 37 commercially important fish and invertebrates for a grid with a spatial resolution of 1km2.</li> <li>all_sp_fit_fn_upper.csv: the upper (1.96 * standard error of the model fit) predicted species density for 37 commercially important fish and invertebrates for a grid with a spatial resolution of 1km2.</li> </ul> <p>Species Group Predictions</p> <ul> <li>all_sp_fit_fn_total.csv: the mean, lower and upper (1.96 * standard error of the model fit) predicted species density for 37 commercially important fish and invertebrates for a grid with a spatial resolution of 1km2, with species summed into finfishes (n = 29), crabs (n = 4), bivalves (n = 1), and prawns (n = 3).</li> </ul> <p><strong>Prediction Shapefiles</strong></p> <ul> <li>Species Name Contractions.csv: file with key to name contractions in the shapefile datasets</li> <li>Shapfiles: spatial representations of the <strong>Predictions </strong>datasets based on the 1km2 grid</li> </ul> <p>* <strong>N.B. </strong>data labeled<em> Neosarmatium meinerti</em> in the above files has been corrected to <em>Neosarmatium africanum</em></p>
ENCODE LR-RNA-seq models and expression values
<p>In this object are the following files:</p> <p> </p> <ul> <li>filt_ab_tpm_mouse.tsv / filt_ab_tpm_human.tsv: Expression levels in TPM for each transcript in human and mouse</li> <li>lr_mouse_library_data_summary.tsv / lr_human_library_data_summary.tsv: Metadata for each dataset in human and mouse</li> <li>cerberus.gtf / mouse_cerberus.gtf: Transcript models in GTF format</li> <li>human_ucsc_transcripts.gtf / mouse_ucsc_transcripts.gtf: Transcript models for transcripts that passed expression filtering (>= 1 TPM in at least one library; transcripts from known </li> <li>human_protein_summary.tsv / mouse_protein_summary.tsv: Summary of protein coding predictions, including ORF locations and NMD status</li> </ul>
Cost reductions in renewables can substantially erode the value of carbon capture and storage in mitigation pathways: supporting data
<p>This provides supporting data for the paper, <em><strong>Cost reductions in renewables can substantially erode the value of carbon capture and storage in mitigation pathways</strong></em>, published in <em>One Earth</em>. The full paper can be accessed at the following DOI: https://doi.org/10.1016/j.oneear.2021.10.024, published on the 19th November 2021.</p>
Dataset for small pelagics value chain in Mauritania
<p>Datasets for the study of the value chain of small pelagic in Mauritania. Includes data on reported landings and catches, trade flow, imports and exports.<br> </p>
Validation of Work Values Instrument in Final Year University Students
<p><em>This is the raw dataset when we conducted the adaptation of the work values instrument in final year students. The number of participants in this study was 316 students, comprised of final year students from various majors who were selected by quota sampling. The raw dataset has been disseminated in the undergraduate thesis defense, so the publication date stated above is referring to it. The raw data set has never been published elsewhere. </em></p>
Data from: Participatory mapping reveals biocultural and nature values in the shared landscape of a Nordic UNESCO Biosphere Reserve
<p>1. Making the right decisions for sustainable development requires sound knowledge of the values and spatial distribution of the services co-produced by ecosystems and people. UNESCO's Man and the Biosphere programme and associated Biosphere Reserves (BRs) are key learning sites or model regions for sustainable development providing key entry points for transdisciplinary work on sustainable development. However, there is limited research exploring spatial distribution of socio-cultural Ecosystem Service (ES) values in BRs and how those values vary according to the BR zonation.</p> <p>2. We used a transdisciplinary approach to design and implement a public participation geographic information systems (PPGIS) survey in a recently designated BR to (i) asses the spatial distribution of ES values in the different zones, (ii) identify hotspots of ES values, (iii) identify spatial bundles of ES values, and (iv) assess the social-ecological characteristics that determine the distribution of those values.</p> <p>3. We found that stakeholders identify high biocultural ES values, mapping predominantly places for outdoor recreation, biodiversity, agricultural products, and cultural heritage. Buffer zones had high agricultural and cultural heritage values while extractive values were largely absent from cores zones. We identified five spatial ES-value bundles highlighting distinct places important for ES values related to: 'multifunctional landscapes' located close to settlements, 'cultural landscapes' associated with agricultural land, 'wild animal resources' along the coastlines, 'outdoor recreation and biodiversity' and 'passive cultural values' widely distributed in high and moderately populated areas.</p> <p>4. Accessibility to nature was highly important for ES values and people highly value nature close to where they live. We show the importance of biocultural values in the region, and agricultural landscapes were highly valued for multiple ES values beyond agricultural products alone.</p> <p>5. We show that BRs have become places that link cultural heritage, agricultural, and biodiversity values in multifunctional landscapes. We put our findings into the local context and suggest how they can inform land-use planning and management through policies aimed at maintaining key agricultural landscapes that provide social-ecological resilience. Additionally, we discuss the value of our study for the wider BR network and how similar work can contribute to monitoring of BR implementation.</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.