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15 results for “public values”
Survey of Pacific Northwest public land managers science and values project, 2023
This dataset records survey data about public land managers who work in Oregon and Washington (Forest Service, Bureau of Land Management, Fish and Wildlife Service, National Park Service, Oregon Department of Forestry, Washington Department of Natural Resources). Data was collected in 2023 via the online survey platform Qualtrics. Data collection is complete. The dataset includes measures of managers beliefs about 1) variable density thinning of mature growth forests, 2) salvage logging of burned areas, 3) translocation of plant species from hotter and drier seed zones to adapt to climate change. It includes how managers evaluate the usefulness of scientific evidence and the soundness of action prescriptions for each of the three management issues Respondents were randomly assigned to either receive long-term or short-term studies, and positive or negative results. The dataset includes measures of sense of belonging (how much managers believe they belong at their workplace) and measures of public support/public threat (how much they believe the public understands and supports the actions they take on the landscape). The dataset includes respondent agency.
Data associated with the following publication: Developing the Playground Play Value and Usability Audit Tool (PVUA): An Evaluation of Content Validity via an Expert Panel
<p>This data set contains the supporting data associated with the following publication:</p> <p>Morgenthaler, T., Loebach, J., Lynch, H., Pentland, D., Kottorp, A., & Schulze, C. (in press). Developing the Playground Play Value and Usability Audit Tool (PVUA): An Evaluation of Content Validity via an Expert Panel. Children, Youth and Environments. [DOI was not yet available when the data set was published]</p> <p>The data set includes the following files:</p> <ul> <li>read me file [contains all relevant information to understand and reuse this data set] </li> <li>13 additional files [for description, see read me file]</li> </ul> <p>For more information, please contact the lead researcher, Thomas Morgenthaler (tom.morgenthaler@gmail.com or 121101888@umail.ucc.ie)</p> <p> </p>
Results: Predicted cooling effect, deaths prevented and associated economic value from public green spaces in Paris V2
<p>This dataset represents results predicting the cooling effect, deaths prevented and associated economic value for public green spaces in Paris for 40 hot days above the minimum mortality threshold in 2019. </p> <p>This is version 2. The value of a statistical life (VSL) has been corrcted and all values adjusted. </p> <p>The data format is a shapefile with coordinate reference system RGF93 v1 / Lambert-93 (EPSG:2154).</p> <p>Please see the Variable_name csv file for description of the variable names. </p> <p>The (non-reproducible) code is available at https://github.com/j-k-garrett/REGREEN_Paris_heat</p> <p>These results are from the submitted (September 2025) paper entitled:</p> <p><strong><span>Nature-Based Solutions for Urban Heat: Health and Economic Value of Paris’s Public Green Spaces</span></strong></p> <p>Authored by:</p> <p>Joanne K. Garrett<sup>1</sup>, David Neil Bird<sup>2</sup>, Timothy J. Taylor<sup>1</sup>, Elizabeth McCarthy<sup>3</sup>, David H. Fletcher<sup>4</sup>, Benedict W. Wheeler<sup>1</sup>, Marianne Zandersen<sup>5</sup>, Laurence Jones<sup>3</sup></p> <p><sup>1</sup>European Centre for Environment and Human Health, University of Exeter, Penryn, Cornwall, UK</p> <p><sup>2 </sup>Institute for Climate, Energy and Society, JOANNEUM RESEARCH, Graz, Austria</p> <p><sup>3</sup> Department of Environmental Studies, Schiller Institute for Integrated Science and Society, Boston College, USA</p> <p><sup>4</sup> UK Centre for Ecology & Hydrology, Environment Centre Wales, Bangor, Gwynedd, Wales, UK</p> <p><sup>5 </sup>Department of Environmental Science, iClimate Interdisciplinary Centre for Climate Change, Aarhus University, Denmark</p> <p> </p>
Data on public perceptions of, attitudes towards, and values for managing urban green infrastructure for carbon, biodiversity, and well-being outcomes in Helsinki, Finland
<p>A public participatory GIS -survey dataset detailing public perceptions of, attitudes towards, and values for managing urban green infrastructure for carbon, biodiversity, and well-being outcomes in Helsinki, Finland.</p>
Values and attitudes associated with public support for biodiversity and ecosystem services as goals of ecological restoration
<p>Source data and metadata for "Public support for restoration: Does including ecosystem services as a goal engage a different set of values and attitudes than biodiversity protection alone?", accepted to PLOS One in December 2020. </p>
Data for publication: "Quantifying the relationship between observed variables that contain censored values using Bayesian error-in-variables regression"
<p>This archive contains the two datasets used in the publication: Vermeiren, Charles, Munoz: Quantifying the relationship between observed variables that contain censored values using Bayesian error-in-variables regression <br>Preprint: <a href="https://hal.science/hal-04764660" rel="nofollow">https://hal.science/hal-04764660</a><br><br>The first dataset is used to develop and test the model using cross-validation, the 2nd dataset is used as an independent, external dataset to test the model. For details, see the publication.</p> <p>The model code, combined with the data and outputs, are also available on GitHub: https://github.com/Peter-Vermeiren/EIVmodels </p>
Dataset for publications "Willingness to pay for urban agriculture in Oslo" and "The Value of Urban Farming in Oslo, Norway: Community Gardens, Aquaponics and Vertical Farming"
<p>Dataset for publications “(Willingness to pay for urban agriculture in Oslo)[https://zenodo.org/record/6510590#.Y851cXbMLfs]" and “The Value of Urban Farming in Oslo, Norway: Community Gardens, Aquaponics and Vertical Farming”. The data was collected as a contingent valuation study of urban agriculture in Oslo, Norway.</p>
[HECAT] [ETAPAS] [TECHETHOS] Policy Launch: Public Service AI /// Trust – Values – Accuracy
<p><strong>Public Service AI /// Trust – Values – Accuracy</strong></p> <p><strong>Policy Launch 26.05.23 11:00 CET Zoom</strong></p> <p><strong>YouTube Link to POLICY LAUNCH Recording: </strong><a href="https://youtu.be/OqkqUbA-6PI">https://youtu.be/OqkqUbA-6PI</a></p> <p><strong>Policy 1 – HECAT Project </strong> <a href="https://zenodo.org/record/7921614">“Algorithm Profiling in Public Employment Services; Reporting Standards”</a></p> <p><strong>Policy 2 – ETAPAS Project </strong> <a href="https://zenodo.org/record/7634617#.ZFIf7ezMKt_">“ETAPAS AND ALTAI – Two European Trustworthy AI Assessment Methodologies”</a></p> <p><strong>Policy 3 – TechEthos Project </strong><a href="https://www.techethos.eu/wp-content/uploads/2023/03/TECHETHOS_Policy-Brief_XR-General-purpose-AI_final.pdf">“XR and General Purpose AI: From Values and Principals to Norms and Standards”</a></p>
Preliminary results: Predicted cooling effect, lives saved and associated economic value from public green spaces in Paris
<p><span>This dataset represents preliminary results predicting the cooling effect from public green spaces in Paris for the 10th, 22nd and 24th July 2019, the lives saved and associated economic valuation.</span></p> <p>The data format is a shapefile with coordinate reference system RGF93 v1 / Lambert-93 (EPSG:2154).</p> <p>Please see the README file for description of the variable names. </p> <p>Full results will be shared in due course, alongside all code and a detailed description of the method. If you would like to know more about the method or would like to be informed when the full results and method are published, please contact Jo Garrett at j.k.garrett@Exeter.ac.uk</p>
Figure S1. Tear break-up time value in hyaluronic acid (HA) group and non-HA group after excluding the source of publication bias
<p>Figure S1. Tear break-up time value in hyaluronic acid (HA) group and non-HA group after excluding the source of publication bias <br> </p>
Supplementary materials for "The values of public libraries: a systematic review of empirical studies of stakeholder perceptions"
<p>Supplementary materials for "The values of public libraries: a systematic review of empirical studies of stakeholder perceptions"</p> <p>https://www.emerald.com/insight/0022-0418.htm</p>
Data publication: Simulation of macroscopic boundary value problems using phenomenological material model for steel fiber reinforced high performance concrete (HPC)
<p>This data set contains all necessary inputs for the Simulation of macroscopic boundary value problems using phenomenological material model, including boundary conditions, material parameters and numerical results. The discretization is realized in terms of the finite element method. </p>
Data publication for "Different earthquake nucleation conditions revealed by stress drop and b-value mapping in the northern Chilean subduction zone"
<p><strong>Abstract</strong>: b-value catalog data publication supplement for "Different earthquake nucleation conditions revealed by stress drop and b-value mapping in the northern Chilean subduction zone" (Folesky, (SciRep,2024), <a href="https://doi.org/10.1038/s41598-024-63015-w">https://doi.org/10.1038/s41598-024-63015-w</a>). b-vales were computed based on the IPOC seismic catalog for northern Chile (Sippl et al., 2023). b-values are computed only for events that have a known stress drop value, as assigned by Folesky et al., 2024. b-values are computed for the 200-1000 nearest neighbors of each event within a maximum distance of 50km using the maximum likelihood approach as implemented by T.Goebel (Geobel et al., 2017). Each seismotectonic class (Sippl et al., 2023) is processed separately. The standard deviation of the fit is obtained by 100 bootstrap iterations for each event while discarding randomly selected 10% of the neighbors.</p> <p><strong>File descriptions</strong>: table columns <br>ID, cls, Lon, Lat, Depth, Magntiude, a, b, Std<br>------------------<br>explanation<br>ID : origin time<br>cls : event class<br>Lon : longitude <br>Lat : latitude<br>Depth : depth in km<br>Magnitude : magnitude (MA)<br>a : a- value <br>b : b- value<br>Std : standard deviation from bootstrapping</p> <p><strong>References</strong>:</p> <p>Folesky, Jonas, (SciRep,2024), <a href="https://doi.org/10.1038/s41598-024-63015-w">https://doi.org/10.1038/s41598-024-63015-w</a></p> <p>Sippl, C., Schurr, B., Münchmeyer, J., Barrientos, S., Oncken, O. (2023): Catalogue of Earthquake Hypocenters for Northern Chile from 2007-2021 using IPOC (plus auxiliary) seismic stations. <a title="Follow link" href="https://doi.org/10.5880/GFZ.4.1.2023.004" target="_blank" rel="nofollow noopener">https://doi.org/10.5880/GFZ.4.1.2023.004</a></p> <p>Folesky, J., Pennington, CN., Kummerow J., Hofman LR. (JGR: Solid Earth, 2024) <a href="https://doi.org/10.1029/2023JB027549">https://doi.org/10.1029/2023JB027549</a></p> <p>Goebel, T. H., Kwiatek, G., Becker, T. W., Brodsky, E. E. & Dresen, G. What allows seismic events to grow big?: Insights from b-value and fault roughness analysis in laboratory stick-slip experiments. Geology 45, 815–818 (2017).</p>
THE DEVELOPMENT OF NATIONAL MUSICAL CONSCIOUSNESS AMONG STUDENTS IS A SOCIAL PSYCHOLOGICAL FACTOR OF THE FORMATION OF NATIONAL AND PUBLIC VALUE
Open the record for dataset details and reuse information.
Background material for study titled: What are the different governance strategies and mechanisms in public sector platforms and how do they yield public value? A systematic literature review
<p>Extra materials for the literature study reported in the submitted paper.</p>
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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)
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DANDI Archive for NWB datasets
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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.