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3,480 results for “a value”
Data for 'Assessing the value of biodiversity-specific footprinting metrics linked to South American soy trade'
<p>Underlying data for publication 'Assessing the value of biodiversity-specific footprinting metrics linked to South American soy trade'. </p>
BIO4AFRICA_Report on novel bio-based value chains and markets analysis_D5.1_31/05/2022_v1.0
<p>The BIO4Africa project will contribute to food and nutritional security and combat poverty in rural Africa through inclusive and sustainable development.</p> <p>This dataset includes information on the analysis of the prospective markets in which the outputs of the BIO4AFRICA project are reformed via the pilot cases of the project in Uganda, Ghana, Cote D’ Ivoire, and Senegal.</p>
Approaches for handling missing values and their impacts on biological inferences: a molecular rate case study
<p>GenBank accession numbers for nuclear sequence records used to build phylogenetic tree in manuscript entitled "Approaches for handling missing values and their impacts on biological inferences: a molecular rate case study". Nuclear sequences and GenBank accession numbers originally from multigene alignment and supplementary material published in Rabosky et al. (2018; 2019).</p> <p>Rabosky, D.L., Chang, J., Title, P.O. <em>et al.</em> An inverse latitudinal gradient in speciation rate for marine fishes. <em>Nature</em> <strong>559</strong>, 392–395 (2018). https://doi.org/10.1038/s41586-018-0273-1</p> <p>Rabosky, Daniel L. et al. (2019), Data from: An inverse latitudinal gradient in speciation rate for marine fishes, Dryad, Dataset, <a href="https://doi.org/10.5061/dryad.fc71cp4">https://doi.org/10.5061/dryad.fc71cp4</a> </p>
Data for: Approaches for handling missing values and their impacts on biological inferences: a molecular rate case study
<p>These data files are associated with the manuscript entitled: "Approaches for handling missing values and their impacts on biological inferences: a molecular rate case study" by Jacqueline A. May, Zeny Feng, and Sarah J. Adamowicz. This project entailed an evaluation of missing data handling approach on inferences using a molecular evolution case study. A target mixed-type dataset was first imputed using a real data-driven strategy for imputation method selection. Both trait-only (non-phylogenetic) and phylogenetic imputation methods were used to impute the dataset. Phylogenetic generalized least squares (PGLS) analyses were then applied to the complete-case and imputed datasets, specifying the traits as predictors and molecular evolutionary rates as the response variable. Those traits that associate significantly with molecular rates were identified and PGLS models compared to determine how the approach for handling missing data impacts biological inferences and conclusions.</p> <p>The files stored here are the trees built for phylogenetic imputation (RAxML tree and ultrametric tree versions) and the corresponding GenBank accession numbers.</p>
DaRT-seq raw data of Eucalyptus spp for the genetic assessment of the value of restoration planting within an endangered eucalypt woodland
<p>Assessment of woodland restoration often focusses on stand demographics, but genetic factors likely influence long-term stand viability. We examined the genetic composition of Yellow Box (<em>Eucalyptus melliodora</em>) trees in endangered Box-Gum Grassy Woodland in SE Australia, some 30 years after planting with seeds of reportedly local provenance. Using DArT sequencing for 1406 SNPs, we compared genetic diversity and population structure of planted <em>E. melliodora</em> trees with remnant bushland trees, paddock trees, and natural recruits. Genetic patterns imply that natural stands and paddock trees had historically high gene flow (among group pairwise FST = 0.04–0.10). Genetic diversity was highest among relictual paddock trees (He = 0.17), while diversity of revegetated trees was identical to natural bushland trees (He = 0.14). Bayesian clustering placed the revegetated trees into six genetic groups with four corresponding to genotypes from paddock trees, indicating that revegetated stands are mainly of genetically diverse, local provenance. Natural recruits were largely derived from paddock trees with some contribution from planted trees. A few trees have likely hybridised with other local eucalypt species which are unlikely to compromise stand integrity. We show that paddock trees have high genetic diversity and capture historic genetic variety and provide important foci for natural recruitment of genetically diverse and outcrossed seedlings.</p>
Root trait values of 11 trees and shrubs grown on mine tailings
<ol> <li>Root traits play significant roles in plant resource-use strategies, and are good predictors of plant growth and survival. However, their predicting role in phytoremediation remains poorly understood and we know much less about the functional covariation of root traits with soil heavy metal (HM) contamination.</li> <li>The objective of this study was to assess the importance of root traits to predict phytoremediation services and to quantify biomass cost (BC) for HM accumulation in eleven woody species grown on a Pb-Zn mine tailing of Southeastern China. Sixteen traits associated with root morphological and chemical features, as well as HM accumulation characteristics, were measured to examine whether there is a RES under HM stressors and whether the covariation among root traits was related to individual or multiple heavy metal translocation and bioconcentration.</li> <li>Our findings provide evidence for a multidimensional RES including one main trend of 'slow-fast' strategy, and a trend representing a trade-off between root system size and root tissue density, indicating root proliferation strategy in a metal-contaminated soil. Another trade-off between root cadmium concentration and root dry matter content implied the existence of a presumable biomass cost for HM accumulation, which was proved to be constrained by RES.</li> <li>Root traits were good predictors of individual or multiple HM translocation and bioconcentration, and linked with phytoremediation services: roots with more acquisitive traits promote HM translocation, whilst conservative roots fostered bioconcentration.</li> <li>This study demonstrates that woody species grown on HM-contaminated soils exhibit different capacities for accumulating or translocating HMs depending on their root system shapes, and their position on the RES. Our results highlighted the importance of root size-related traits in the framework of RES when plants face unfavorable soil conditions and narrow the gap in trait-based ecology. We, for the first time, define and quantify the biomass cost for HM accumulation, providing a better understanding of the resource-allocation theory.</li> </ol>
SIMARA: a database for key-value information extraction from full-page handwritten documents
<p>We propose a new database for information extraction from historical handwritten documents. The corpus includes 5,393 finding aids from six different series, dating from the 18th-20th centuries. Finding aids are handwritten documents that contain metadata describing older archives. They are stored in the National Archives of France and are used by archivists to identify and find archival documents.</p> <p><br> Each document is annotated at page-level, and contains seven fields to retrieve. The localization of each field is not available in such a way that this dataset encourages research on segmentation-free systems for information extraction.<br> </p>
Supplementary materials of the paper entitled: "Seeking Value in Extending a Requirements-Based Testing Method"
<p>Supplementary materials of the paper entitled:<br> “Seeking Value in Extending a Requirements-Based Testing Method”</p> <p>file00 - Readme.txt<br> file01 - Feature test analysis results (FeatureTestsAnalysis.xlsx)<br> file02 - Webex March 2023 feature descriptions (Webex-March-2023-Features.pdf)<br> file03 - Webex feature testing results (Webex-March-2023-FeatureTestingResults.pdf)</p>
Supplementary materials of the paper entitled: "Seeking Value in Extending a Requirements-Based Testing Method"
<p>Supplementary materials of the paper entitled:<br> “Seeking Value in Extending a Requirements-Based Testing Method”</p> <p><br> file01 - Feature test analysis results (FeatureTestsAnalysis.xlsx)<br> file02 - Webex March 2023 feature descriptions (Webex-March-2023-Features.pdf)<br> file03 - Webex feature testing results (Webex-March-2023-FeatureTestingResults.pdf)</p>
D4.1 - Circular supply/value chains development report - Main variables, initial values, and their units of measure.
<p>This data set was used to develop simulation models of the demonstrators' supply chains and what-if analysis to explore the aspect of centralized and decentralized supply chains scenarios while keeping the aspect of economic and environmental performance in focus.</p>
B-value, Slip and Stress related to the Antakya 2023 earthquake
<p>On-fault b map for the Antakya 2023 earthquake sequence using the Godano et al. 2021 method plotted with the slip and shear-stress calcolated for the two main earthquakes.</p> <p> </p> <p>C. Godano, V. Convertito, N. A. Pino, and A. Tramelli. An automated method for mapping independent spatial b values. Earth and Space Science, 9(6):e2021EA002205, 2022. e2021EA002205 2021EA002205.</p>
Determinants of corporate shares market value dynamics during periods of decline and return to the original values of shares market
<p>Determinants of corporate shares market value dynamics during periods of decline and return to the original values of shares market</p>
Dataset for the Indonesian Interprofessional Socialisation and Valuing Scale (ISVS)-19
<p>The dataset is used for the analysis of an article titled: Psychometric evaluation of the culturally adapted Interprofessional Socialisation and Valuing Scale (ISVS)-19 for health practitioners and students in Indonesia. </p>
Data and Code for "A Ray-Based Input Distance Function to Model Zero-Valued Output Quantities: Derivation and an Empirical Application"
<p>This data and code archive provides all the data and code for replicating the empirical analysis that is presented in the journal article "A Ray-Based Input Distance Function to Model Zero-Valued Output Quantities: Derivation and an Empirical Application" authored by Juan José Price and Arne Henningsen and published in the Journal of Productivity Analysis (DOI: <a href="https://doi.org/10.1007/s11123-023-00684-1">10.1007/s11123-023-00684-1</a>).</p> <p>We conducted the empirical analysis with the "R" statistical software (version 4.3.0) using the add-on packages "combinat" (version 0.0.8), "miscTools" (version 0.6.28), "quadprog" (version 1.5.8), sfaR (version 1.0.0), stargazer (version 5.2.3), and "xtable" (version 1.8.4) that are available at CRAN. We created the R package "micEconDistRay" that provides the functions for empirical analyses with ray-based input distance functions that we developed for the above-mentioned paper. Also this R package is available at CRAN (https://cran.r-project.org/package=micEconDistRay).</p> <p>This replication package contains the following files and folders:</p> <ul> <li><strong>README</strong><br> This file</li> <li><strong>MuseumsDk.csv</strong><br> The original data obtained from the Danish Ministry of Culture and from Statistics Denmark. It includes the following variables: <ul> <li><em>museum</em>: Name of the museum. </li> <li><em>type</em>: Type of museum (Kulturhistorisk museum = cultural history museum; Kunstmuseer = arts museum; Naturhistorisk museum = natural history museum; Blandet museum = mixed museum).</li> <li><em>munic</em>: Municipality, in which the museum is located.</li> <li><em>yr</em>: Year of the observation.</li> <li><em>units</em>: Number of visit sites.</li> <li><em>resp</em>: Whether or not the museum has special responsibilities (0 = no special responsibilities; 1 = at least one special responsibility).</li> <li><em>vis</em>: Number of (physical) visitors.</li> <li><em>aarc</em>: Number of articles published (archeology).</li> <li><em>ach</em>: Number of articles published (cultural history).</li> <li><em>aah</em>: Number of articles published (art history).</li> <li><em>anh</em>: Number of articles published (natural history).</li> <li><em>exh</em>: Number of temporary exhibitions.</li> <li><em>edu</em>: Number of primary school classes on educational visits to the museum.</li> <li><em>ev</em>: Number of events other than exhibitions.</li> <li><em>ftesc</em>: Scientific labor (full-time equivalents).</li> <li><em>ftensc</em>: Non-scientific labor (full-time equivalents).</li> <li><em>expProperty</em>: Running and maintenance costs [1,000 DKK].</li> <li><em>expCons</em>: Conservation expenditure [1,000 DKK]. </li> <li><em>ipc</em>: Consumer Price Index in Denmark (the value for year 2014 is set to 1).</li> </ul> </li> <li><strong>prepare_data.R</strong><br> This R script imports the data set MuseumsDk.csv, prepares it for the empirical analysis (e.g., removing unsuitable observations, preparing variables), and saves the resulting data set as DataPrepared.csv.</li> <li><strong>DataPrepared.csv</strong><br> This data set is prepared and saved by the R script prepare_data.R. It is used for the empirical analysis.</li> <li><strong>make_table_descriptive.R</strong><br> This R script imports the data set DataPrepared.csv and creates the LaTeX table /tables/table_descriptive.tex, which provides summary statistics of the variables that are used in the empirical analysis.</li> <li><strong>IO_Ray.R</strong><br> This R script imports the data set DataPrepared.csv, estimates a ray-based Translog input distance functions with the 'optimal' ordering of outputs, imposes monotonicity on this distance function, creates the LaTeX table /tables/idfRes.tex that presents the estimated parameters of this function, and creates several figures in the folder /figures/ that illustrate the results.</li> <li><strong>IO_Ray_ordering_outputs.R</strong><br> This R script imports the data set DataPrepared.csv, estimates a ray-based Translog input distance functions, imposes monotonicity for each of the 720 possible orderings of the outputs, and saves all the estimation results as (a huge) R object allOrderings.rds.</li> <li><strong>allOrderings.rds</strong> (not included in the ZIP file, uploaded separately)<br> This is a saved R object created by the R script IO_Ray_ordering_outputs.R that contains the estimated ray-based Translog input distance functions (with and without monotonicity imposed) for each of the 720 possible orderings.</li> <li><strong>IO_Ray_model_averaging.R</strong><br> This R script loads the R object allOrderings.rds that contains the estimated ray-based Translog input distance functions for each of the 720 possible orderings, does model averaging, and creates several figures in the folder /figures/ that illustrate the results.</li> <li><strong>/tables/</strong><br> This folder contains the two LaTeX tables table_descriptive.tex and idfRes.tex (created by R scripts make_table_descriptive.R and IO_Ray.R, respectively) that provide summary statistics of the data set and the estimated parameters (without and with monotonicity imposed) for the 'optimal' ordering of outputs.</li> <li><strong>/figures/</strong><br> This folder contains 48 figures (created by the R scripts IO_Ray.R and IO_Ray_model_averaging.R) that illustrate the results obtained with the 'optimal' ordering of outputs and the model-averaged results and that compare these two sets of results.</li> </ul>
THE GROWTH IMPACT ON COMPANY VALUE: EVIDENCE FROM THE E-COMMERCE SECTOR
<p>The data contains financial information on the companies from the e-commerce industry worldwide over the period from 2017 to 2021 (panel data for 173 companies).<br> The list of variables:<br> 1. Current trading multiples (EV/GMV, EV/Revenue, EV/Gross Profit, EV/EBITDA, EV/EBIT)<br> 2. Control variables: Dummy_Dev (1 - developed country, 0 - developing country), Dummy_Ind (1 - primarily marketplace, 0 - primarily retail)<br> 3. Breakeven point (Dummy_GP, Dummy_EBITDA)<br> 4. Growth of financial indicators (GMV, Revenue, Gross Profit, EBITDA, EBIT)<br> 5. Gross Profit margin, EBITDA margin, EBIT margin<br> 6. Standard deviation of forecasted revenues (G_stdev)</p>
Data supporting the manuscript: Demonstrating the value of beaches for adaptation to future coastal flood risk
<p>*Forcing hydrograms used to compute the flooding maps in .mat format.</p> <p>*Geodatabase of Pre-storm flooding maps </p> <p>*Geodatabase of Post-storm flooding maps</p>
Data from: Relational values of nature in empirical research: A systematic review
<p>In the past five years, scholarly and policy attention to relational values, a concept that articulates plural values of nature, has grown steadily. To date, there are no published syntheses of empirical research that explicitly address relational values. We perform a systematic literature review of n = 72 empirical studies of relational values to summarize the state of current research and to identify opportunities for future research and conceptual development. In our analysis, we categorize what authors identify as relational values and summarize study characteristics (e.g., study location, methods approach.) Authors collectively report n = 312 unique relational values. Categories of <em>identity, social cohesion, livelihoods, connection to place/human-nature connection</em>, and <em>religion</em> are most common. Scholarship that explicitly addresses relational values has increased since 2017 and exhibits substantial diversity: in how relational values are conceptualized (or not); in disciplinary associations; in geographical location; and in data collection methods. We find that most empirical research on relational values does not justify how its results reflect characteristics that establish the relational values concept as unique from other environmental values concepts. As a result, diverse interpretations of the relational values concept pose the risk of the relational values concept being so broad and inclusive that it becomes meaningless, or at least meaning-light.</p>
Frontopolar cortex represents complex features and decision value during choice between environments
<p><span>Important decisions often involve choosing between complex environments that define future item encounters. Despite its importance for adaptive behaviour and distinct computational challenges</span><span>, decision-making</span><span> research primarily focuses on item choice ignoring environment choice altogether. Here we contrast previously studied item choice in ventromedial prefrontal cortex with lateral frontopolar cortex (FPl) linked to environment choice. Furthermore, we propose a mechanism for how FPl decomposes and represents complex environments during decision-making. Specifically, we trained a choice-optimized, brain-naive convolutional neural network (CNN) and compared predicted CNN activation with actual FPl activity. We showed the high dimensional FPl activity decomposes environment features to represent the complexity of an environment to make such choice possible. Moreover, FPl functionally connects with posterior cingulate cortex for guiding environment choice. Further probing FPl's computation revealed a parallel processing mechanism in extracting multiple environment features.</span></p>
Pluralizing environmental values for urban planning: How to uncover the diversity of imaginaries about socio-natures from Vitoria-Gasteiz (Basque Country, Spain)
<ol> <li><span>Cities have pushed forward re-naturing initiatives in local planning agendas. Discourses and rationales for such interventions tend to follow instrumental framings often narrowed down to the economic, health, and ecological benefits of nature's contributions to people (NCP). Yet, diverse urban residents often connect to other socio-nature framings that are associated with a plurality of values held for nature, including relational, intrinsic, and instrumental values.</span></li> <li><span>Focusing mostly on urban NCP, we used Q-methodology to explore the perspectives and expressions of urban residents' diversity of values for urban greenery and broader human-nature relationships. We explore the role of both instrumental and relational values, as well as certain potential disvalues of urban NCP. In light of the recent IBPES values assessment (IBPES 2022) we follow a call for empirical studies and methodologies to explore, elicit, and visibilize plural values about nature.</span></li> <li><span>We base our study in the Basque city of Vitoria-Gasteiz, Spain (2012 European Green Capital) where we identify four distinct perspectives, all of which relate to a diversity of values about urban nature. Urban residents mostly perceive positive values for NCP as directly connected to their wellbeing. Yet, NCP that impact social bonds within their social community, expressed for instance through community-related values, are perceived differently across the four perspectives.</span></li> <li><span>We conclude that planners and decision-makers should pay scrutiny to include the four, partly differing, perspectives about the plural values of (urban) NCP in policymaking processes to assure just and inclusive outcomes. Here, intersectional and participatory approaches are needed beyond dominating framings of NCPs and related values, especially those that can take into account the needs and preferences of marginalized social groups. Special emphasis should be put on integrating relational values as nourishing such values through planning can play an important role in creating place-rooted connections with local urban landscapes and the community. </span></li> </ol>
Nutritional Value Formation of Silkworm Pupa at Different Growth Stages: Analysis from Multi-omics Perspective
<p>Silkworm pupa (Bombyx mori) is affinal drug and diet in China, which is rich in protein and human essential amino acids. However, it is unclear how the internal nutritional composition changes and the antioxidant situation throughout the transformation of a silkworm pupa into a silkworm moth. In this study, we investigated the samples from four growth stages during silkworm pupal emergence by integrating proteomics and metabolomics. The results of the systematic bioinformatics study revealed that the growth of silkworm pupae considerably altered the ribosome-related genetic expression, cuticle development, and folate metabolism. The partial redox-active amino acid levels and the level of peroxiredoxin 1 expression were consistent with the fact that the total antioxidant capacity was higher in 7- and 10-day-old silkworm pupae. As compared to silkworm pupae, the amounts of fatty acids rose while those of amino acids, peptides, and organic acids dropped. This research also discovered that the altered protein profiles of silkworm pupae were controlled by the differential expression of mTOR signaling proteins (V-ATPase, S6, eIF4E) and ubiquitin mediate proteins (RP-L40e, UBE2L3, UBE2N, SKP1, ELOC). This study provided a new scientific foundation for the development and utilization of edible insect silkworm pupa functional food products.</p>
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.