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35 results for “SUSTAINABILITY INDICATORS”
Relevance of criteria and indicators for sustainable timber harvesting
<p>For well-founded decisions in sustainable timber harvesting, it is important to know the preferences of the different stakeholders. The concept of sustainable timber harvesting is to incorporate economic, social, and environmental criteria in the selection, execution and assessment of harvesting operations. In a previous study, 33 criteria were identified by forest experts as relevant for evaluating sustainability. To assess the importance of these criteria, an online survey was conducted among Austrian stakeholders between April and May 2023, in which 610 people were invited to participate and which resulted in a response rate of 47%.</p> <p>The survey participants were primarily male (94%), with an average age of 47 and an average of 20 years of work experience. The key criteria for sustainable harvesting that were unanimously mentioned by the stakeholders on the basis of a Likert scale, included occupational hazards, residual stand damage, loss of wood quality due to poor work performance, biomass regeneration, water erosion, noise exposure, soil rutting, physical workload, working conditions, and vibration exposure. These identified preferences will inform the development of a decision support model for sustainable timber harvesting using these criteria as input parameters.</p>
STAR4BBS D3.1 Report on sustainability indicators for the monitoring system based on LCA_Appendix C1
<p><span>This appendix presents the full set of LCA indicators identified in D3.1 for the environmental pillar. These 56 indicators are the result of a search limited to highly relevant sources in the field (specified in D3.1) and were used for the final selection according to pre-established criteria.</span></p>
STAR4BBS D3.1 Report on sustainability indicators for the monitoring system based on LCA_Appendix C3
<p><span>This appendix presents the full set of LCA indicators identified in D3.1 for the social pillar. These 571 indicators are the result of the analysis of 43 relevant articles and were used for the final selection according to pre-established criteria.</span></p>
STAR4BBS D3.1 Report on sustainability indicators for the monitoring system based on LCA_Appendix C2
<p><span>This appendix presents the full set of LCA indicators identified in D3.1 for the economic pillar. These 22 indicators are the result of the consultation of various books and scientific articles aligned with the LCC and TEA methodology (specified in D3.1) and were used for the final selection according to pre-established criteria.</span></p>
STAR4BBS D3.1 Report on sustainability indicators for the monitoring system based on LCA_Appendix C4
<p><span>This appendix includes some recent research reports that have applied LCA methodology and circularity analysis to different sectors of the bioeconomy. A total of 30 research articles covering the environmental, social and economic pillars of sustainability, as well as circularity assessments, were analyzed</span>.</p>
Maps of the Sustainable Development Goal (SDG) indicator 15.3.1 with its sub-indicators for the entire Amazon River Basin
<p>Maps of the SDG indicator 15.3.1 adopted by the United Nations Convention to Combat Desertification (UNCCD) together with its sub-indicators for the Amazon River Basin for the period 2001-2020. The sub-indicators are trajectory (or trend), state, and performance. The SDG indicator 15.3.1 was calculated using the procedures described in the second version of the Good Practice Guidance for SDG Indicator 15.3.1. The annual LCLU maps from the MapBiomas project at 30 m spatial resolution and the 16-day MOD13Q1 NDVI and SoilGrids dataset were used as inputs. In addition, annualized maps of drought severity derived from SPI12, SPEI12, and scPDSI are added. </p> <p>A total of seven GeoTIFF files in Geographic Tagged Image File Format (GeoTIFF) format are provided at 250 m spatial resolution.</p> <p>Coding for the SDG indicator 15.3.1, trajectory, state, and performance.</p> <p>-32768 is ‘No data’</p> <p>-1 is ‘Degraded’</p> <p>0 is ‘Stable’’</p> <p>1 is ‘Improvement’</p> <p>Coding for the drought severity.</p> <p>From 0 (minimum drought severity) to 1 (maximum drought severity).</p>
Sustainable Aging in Aix-Marseille Metropolis: Assessment Indicators and Interactive Visualizations for Policy Making
<p>This upload contains a geopackage file, R code, Readme file and an HTML-based platform with interactive maps created using the geopackage and R code within the ForVie project (Forme et vieillissement au sein de la Métropole d'Aix-Marseille-Provence). This upload presents various data, indicators and interactive maps to help planners and policymakers to quickly identify patterns and trends related to aging within Aix-Marseille metropolis, France.</p> <p>Authors<br> Perez, J & Boyer, T. Université Côte d'Azur, UMR 7300 ESPACE-CNRS, Nice, France.</p> <p>Files<br> * `AGING_AMP_INDICATORS.gpkg`: The geopackage file contains spatial data used in the R code to create the maps.<br> * `code_R_platform_v1.0_ForVie.R`: The R code used to create the interactive maps.<br> * `ForVie_platform_v1.0.html`: The platform for visualizing the interactive maps.</p> <p>Instructions<br> To use this upload, follow these steps:<br> 1. Download the geopackage file, R code, and index.html file.<br> 2. Open the R code in RStudio or another R environment.<br> 3. Install any necessary packages as listed in the first section of the R code.<br> 4. Run the code in R to create the HTML-based platform with interactive maps<br> Alternatively, it is possible to directly open the ForVie_platform_v1.0.html file in a web browser to view the maps.</p> <p>Acknowledgment<br> This research was funded by a grant from Région Sud, Provence-Alpes-Côte d'Azur, France (ForVie).</p> <p>References<br> Perez et al., (2023) "Sustainable Aging in Aix-Marseille Metropolis: Assessment Indicators and Interactive Visualizations for Policy Making." Submitted (reference to be updated)</p> <p>Contact<br> If you have any questions about this upload, please contact Perez Joan at joan.perez@univ-cotedazur.fr</p>
Inventory of the sustainability methodologies, indicators and criteria of research projects funded by the European Union
<p>Based on a screening in the CORDIS database and the experience of project partners, 16 projects were selected for analyses of their contributions regarding sustainability criteria and indicators.</p>
Tool for the selection of indicators for agriculture sustainability assessment
<p>This is a preliminary version of the Excel-based tool that is being developed within the Working Group of the Crop diversification cluster on Multi-criteria Assessment and Sustainability Indicators (MCA & SI cluster WG). The tool has the aim to assist different end-users in the selection of sustainability indicators tailored to assess the impacts and effects of crop diversification. Currently this preliminary version contains only the indicators developed by the DiverIMPACTS and DiverFARMING projects (2 out 5 projects of Crop diversification cluster).</p> <p>The tool is composed by three sheets: 1) the “Selection” sheet for querying the database and obtaining the results; 2) the “Database” sheet where all indicators of the cluster projects are reported; 3) the “SAFA_HierachicalClassification” sheet with the description of the SAFA framework, and the items identified for the indicators of the cluster projects reported in the database.</p>
A comprehensive collection of sustainability criteria and indicators included in current sustainability certification schemes
<p>This dataset is part of the results of STAR-ProBio WP1. In this WP, we have analysed existing sustainability certification schemes in the EU Bioeconomy. This dataset includes the sustainability principles, criteria and indicators from an in-depth assessment of ~ 50 EU bioeconomy sustainability certification schemes.</p>
TOPSIS method application on sustainability indicators of Higher Education Institutions of Brazilian municipalities
<p>TOPSIS method application on sustainability indicators of Higher Education Institutions of Brazilian municipalities</p>
Developing circularity, renewability and efficiency indicators for sustainable resource management : propanol production as a showcase
<p>The data used for the exergy calculations in the associated article.</p>
Definition of techno- economic sustainability criteria and LCC indicators for bio-based products
<p>The dataset provides a set of sustainability principles to be fulfilled by the process or the product and develops a set of criteria and indicators to show how well these sustainability principles are fulfilled. Case-studies related on alternative feedstocks, bio-based products production routes, and EoL options are implemented in order to evaluate the proposed methodology.</p>
SESMG model scenarios of the study "Indicators for the optimization of sustainable urban energy systems based on energy system modeling"
<p>This folder contains the model scenarios belonging to the publication "<strong>Indicators for the optimization of sustainable urban energy systems based on energy system modeling</strong>" (<a href="https://doi.org/10.1186/s13705-021-00323-3">https://doi.org/10.1186/s13705-021-00323-3</a>).</p> <p>The individual scenarios can be executed and evaluated with the <strong>Spreadsheet Energy System Model Generator (<a href="https://github.com/chrklemm/SESMG">SESMG</a>)</strong> <a href="https://doi.org/10.5281/zenodo.5412027">v0.0.4</a>, respectively <a href="https://doi.org/10.5281/zenodo.5520513">v0.2.0</a>.</p> <p>The file names are to be understood as follows:</p> <p><em>"scenario name"_"(dispatch) optimization criterion"_"scenario concretization"_"further scenario concretization"_"associated program version"</em>.xlsx.</p> <p>For example, the title name "<em>Scenario3_C_4MW_Biogas_SESMGv0.0.4.xlsx</em>" contains the following information:<br> - This file belongs to scenario 3 (see main publication for details).<br> - Dispatch optimized according to energy costs C (see main publication for details).<br> - The scenario contains 4 MW biogas CHP capacity (see main publication for details)<br> - The scenario is to be executed with SESMG version v0.0.4.</p> <p>Another example. The title name "<em>optimization_C_80PercentDemand_70PercentEmissions_SESMGv0.1.1.xlsx</em>" contains the following information:<br> - This file belongs to the optimization scenario (see main publication for details).<br> - The primary optimization criterion is energy costs C (see main publication for details).<br> - Energy demand was capped at 80 percent and emissions at 70 percent of baseline (see main publication for details)<br> - The scenario is to be executed with SESMG version v0.1.1.<br> </p> <p><strong>Acknowledgements:</strong></p> <p>The authors would like to thank Prof. Dr. Peter Vennemann (Münster University of Applied Sciences) for the constructive discussion regarding this article. This research has been conducted within the R2Q project, funded by the German Federal Ministry of Education and Research (BMBF) - grant number 033W102A and the junior research group energy sufficiency funded by the German Federal Ministry of Education and Research (BMBF) as part of its Social-Ecological Research funding priority, funding number 01UU2004A. </p>
SiEUGreen_Dataset_for_Monitoring_the_contribution_of_urban_agriculture_to_urban_sustainability:_an_indicator-based_framework
<p>The data was collected for scientific publication: Tapia, C., Randall, L., Wang, S.; Borges, L. A. (2021): Monitoring the contribution of urban agriculture to urban sustainability: an indicator-based framework. <em>Sustainable Cities and Society</em>. In press, <a href="https://doi.org/10.1016/j.scs.2021.103130">https://doi.org/10.1016/j.scs.2021.103130</a></p> <p>This dataset includes the data from the survey in Brabrand Fallaesgartneriet, which is the study case reported in the article.</p>
Development and Implementation of Sustainable Transportation Resilience Indicators
<p>Communities are complex systems subject to a variety of hazards that can result in significant disruption to critical functions. Community resilience assessment is gaining popularity as a means to help communities better prepare for, respond to, and recover from disruption. Sustainable resilience, a recently developed concept, requires communities to assess system-wide capability to maintain desired performance levels, while simultaneously evaluating impacts to resilience due to changes in hazards and vulnerability over extended periods of time.</p> <p>In an earlier work, the authors developed a classification scheme to aid in identification, selection and application of community sustainable resilience indicators that can be tailored to a community’s needs in operationalizing the assessment process. These indicators were characterized according to whether they aligned with social, economic or environmental systems that are necessary for a community to achieve a sustainable resilience domain of survival, well-being, or full preparedness.</p> <p>Of the critical infrastructure systems that support these systems and domains, transportation is arguably the most important. This is based on the premise that transportation is a means to an end, providing the mobility that enables a community to establish and maintain a social, economic and environmental fabric. Whether it involves an educational, medical, recreational, religious, work or other purpose, absent a safe and reliable transportation system, none of these activities can be satisfactorily pursued. Moreover, in times of crisis, transportation serves as a vital artery for enabling access to and egress from impacted areas.</p> <p>The objective of this project was to establish and demonstrate a method for evaluating a community’s transportation resilience, such that if deficiencies exist, attention can be focused on mitigating those concerns. This approach was designed around the scenario of a river valley community exposed to the threat of a significant flood event, with the expectation that the methodology has the potential to be extended to assess community resilience to other natural and manmade hazards.</p>
NRP "Cultural capital as a resource for the sustainable development of Latvia / CARD" Cultural Indicators Sub-project Dataset
<p>The aim of this research is to define what kind of key challenges and implemented solutions regarding the artist status are common in Europe, and how to develop a systematic approach for artist recognition and support in the Baltic context. Using qualitative research methodology (desk research, focus group discussions) the authors analyze the current theoretical and empirical discussion in the European Union member states and especially in the Baltic countries, highlighting different practices and experiences in defining the status and recognition of the artist, and support systems that adjust for specific needs in different countries.</p> <p>Full dataset contains tabular data (published here) and an audio recording of the focus group discussion, which is available under restricted access due to containing sensitive information (please contact luize.daksa@lka.edu.lv for further inquiries).</p>
Indicators of Social Sustainability obtained from Sustainability in Aquaculture Research Network
<p>Indicators of social sustainability obtained for the 8 systems of LTS studied. Monoc. = monoculture; sub-trop. = subtropical; IMTA = integrated multi trophic aquaculture; PHY = person-hour per year; PH = person-hour, “-“ = no data.</p>
Indicators of Environmental Sustainability obtained from Sustainability in Aquaculture Research Netowork
<p>Indicators of environmental sustainability obtained for the 8 systems of LTS studied. Negative values of PGW mean that, in balance, the system absorbs greenhouse gases from the atmosphere, whereas positive values indicate that the system emits them. Monoc. = monoculture; sub-trop. = subtropical; IMTA = integrated multi trophic aquaculture; “-“ = no data.</p>
Indicators of Economic Sustainability obtained from Sustainability in Aquaculture Research Network
<p>Indicators of economic sustainability obtained for the 8 systems of LTS studied. Monoc. = monoculture; sub-trop. = subtropical; IMTA = integrated multi trophic aquaculture; “-“ = no data.</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.