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33 results for “Sustainable Development Goal”
A Refined Supply-demand Framework to Quantify Variability in Ecosystem Services Related to Surface Water in Support of Sustainable Development Goals
<p>This database relies on the article entitled "A Refined Supply-demand Framework to Quantify Variability in Ecosystem Services Related to Surface Water in Support of Sustainable Development Goals " to be published in Earth's Future. The file named 'Results' stores the data produced in this study. The file named 'Scripts' stores the python codes used in this study. The file named 'Software' stores the software installation package (Windows 64-bit system). The file named '3basin' stores the shapefile data of Level 3 basin in Xinjiang. The file named "Supplementary Data" contains the necessary Water Bulletin and Statistical Yearbook data.</p>
Eight archetypes of Sustainable Development Goal (SDG) synergies and trade-offs
<p>Data S1 - Details of system archetype application articles reviewed systematically.</p>
Quantitative Assessment of G7's Collaboration in Sustainable Development Goals
<div> </div> <p><strong>Authors</strong>: Kai Liu <sup>[1]</sup>, Ali Raisolsadat (<a href="mailto:arraisolsadat@uwaterloo.ca">arraisolsadat@uwaterloo.ca</a>) <sup>[2]</sup>, Xander Wang (<a href="mailto:xxwang@upei.ca">xxwang@upei.ca</a>) <sup>[3,4]</sup>, and Quan Van Dau (<a href="mailto:vdau@upei.ca">vdau@upei.ca</a>) <sup>[3,4]</sup></p> <p><strong>Institutions</strong>:</p> <ol> <li>School of Mathematical and Computational Sciences, University of Prince Edward Island, Charlottetown, Prince Edward Island, Canada C1A 4P3</li> <li>Faculty of Mathematics, University of Waterloo, Waterloo, Ontario, Canada N2L 3G1</li> <li>Canadian Centre for Climate Change and Adaptation, University of Prince Edward Island, St. Peter's Bay, Prince Edward Island, Canada C0A 2A0</li> <li>School of Climate Change and Adaptation, University of Prince Edward Island, Charlottetown, Prince Edward Island, Canada C1A 4P3</li> </ol> <p><strong>Corresponding Author</strong>: Dr. Xander Wang<br><strong>Contact Information</strong>: <a href="mailto:xxwang@upei.ca">xxwang@upei.ca</a></p> <div> <h2>Repository Contents</h2> </div> <p>This repository contains the code and data for the project titled "Quantitative Assessment of G7's Collaboration in Sustainable Development Goals".</p> <div> <h2>Information about the Folders</h2> </div> <ul> <li><strong><code>sdg_raw_data</code></strong>: Contains the raw Sustainable Development Goals indicator data from the "Our World in Data" database.</li> <li><strong><code>sdg_grouped_raw_data</code></strong>: Contains the raw SDG indicator data, but grouped for each goal (1-15).</li> <li><strong><code>results_datasets</code></strong>: Contains the main results for Domestic Changes, Foreign Changes, and Synergy data in <code>.CSV</code> and <code>.RData</code> formats.</li> <li><strong><code>main_manuscript_figures</code></strong>: Contains the 5 main figures used in the manuscript text.</li> <li><strong><code>s1_s12_supplementary_figures</code></strong>: Contains the 12 figures from the supplementary material of the manuscript.</li> <li><strong><code>partial_true_direction_un.csv</code></strong>: Contains the indicator directions from Table 1 of the manuscript.</li> <li><strong><code>SDG_Data.xlsx</code></strong>: An Excel file which contains all the data used in the manuscript results in multiple sheets, including SDG raw data and results datasets.</li> </ul> <div> <h2>Prerequisites</h2> </div> <ul> <li><strong>R</strong>: Please ensure that you have installed the latest version of the R software for your device. You can download it from <a href="https://cran.r-project.org/" rel="nofollow">CRAN</a>.</li> <li><strong>RStudio</strong>: It is recommended to use RStudio for running the R scripts. You can download it from <a href="https://rstudio.com/products/rstudio/download/" rel="nofollow">RStudio's official website</a>.</li> </ul> <div> <h2>How to Run</h2> </div> <ol> <li><strong>Download <a href="../api/records/11659806/draft/files/Synergy-2024-1.0.0.zip/content" target="_blank" rel="noopener noreferrer">Synergy-2024-1.0.0.zip</a> to your local computer and unzip it</strong></li> <li> <p><strong>Set the directory to the unzipped folder</strong></p> </li> <li><strong>Set the R working directory to the unzipped folder</strong></li> <li> <p><strong>Run Main Code</strong>:</p> <ul> <li>Open and run the <code>gross_synergy_markdown.Rmd</code> file. This is the main code for our manuscript.</li> <li>The resulting datasets will be saved in the <code>results_datasets</code> folder.</li> </ul> </li> <li> <p><strong>Generate Figure 1</strong>:</p> <ul> <li>Open and run <code>figure_1.R</code>.</li> <li>The resulting figure will be saved in the <code>main_manuscript_figures</code> folder.</li> </ul> </li> <li> <p><strong>Generate Figure 2</strong>:</p> <ul> <li>Open and run <code>figure_2.R</code>.</li> <li>The resulting figure will be saved in the <code>main_manuscript_figures</code> and <code>s1_s12_supplementary_figures</code> folders, respectively.</li> </ul> </li> <li> <p><strong>Generate Figure 3</strong>:</p> <ul> <li>Open and run <code>figure_3.R</code>.</li> <li>The resulting figure will be saved in the <code>main_manuscript_figures</code> folder.</li> </ul> </li> <li> <p><strong>Generate Figure 4</strong>:</p> <ul> <li>Open and run <code>figure_4.R</code>.</li> <li>The resulting figure will be saved in the <code>main_manuscript_figures</code> and <code>s1_s12_supplementary_figures</code> folders, respectively.</li> </ul> </li> <li> <p><strong>Generate Figure 5</strong>:</p> <ul> <li>Open and run <code>figure_5.R</code>.</li> <li>The resulting figure will be saved in the <code>main_manuscript_figures</code> folder.</li> </ul> </li> </ol>
Understanding emergence of the UN Sustainable Development Goals Research
<p>Emerging new scientific knowledge associated with the UN Sustainable Development Goals (SDGs) can contribute to dealing with the complexities of social, economic, and environmental challenges. Identifying and understanding the underlying conditions that enable and constrain the emergence of SDGs research can help to increase the transformative potential of scientific knowledge. We investigate the role of universities in facilitating the emergence and consolidation of SDGs research using Utrecht University as a case. Our approach offers a systematic understanding of the development of research areas associated with the SDGs -including opportunities and constraints- to support universities in identifying the thematic orientation of their current research in the framework of the SDGs. This approach can thus increase reflexibility about the contribution of universities to implement the SDGs. Our results reveal that universities can enhance awareness about the SDGs, generate reflections on SDG research, offer institutional opportunities to interconnect diverse knowledge domains and diverse social actors, and nurture and develop emerging research associated with the SDGs.</p>
Thesaurus for Sustainable Development Goals
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Reduced biodiversity in modernised villages: a conflict between sustainable development goals
<p><span>1. Despite large conservation efforts to halt the loss of farmland biodiversity in Europe, negative population trends are still observed, especially for common species. Old villages and human settlements are biodiversity hotspots and important breeding habitats for farmland birds, but recent requirements for energy saving measures and improved living comfort have changed their architecture and habitats. Consequently, modernisation of villages may negatively affect bird diversity due to the loss of nesting and foraging sites.</span></p> <p><span>2. We investigated how the abundance and diversity of birds breeding in 104 Polish villages varied in relation to the degree of modernisation as estimated by the proportion of new and renovated homesteads. </span></p> <p><span>3. Abundance of building-nesting species, but not tree-nesting species, declined by 50% across a gradient of old to highly modernised villages. The contribution of new vs. renovated houses to the observed decline was similar.</span></p> <p><span>4. <i>Applications and synthesis</i>. Rural modernisation has a dramatic effect on abundance of birds nesting in/on buildings, thus may be an important and overlooked contributor to farmland bird population declines in Europe. Villages and rural properties may fall outside of current conservation policy as they are neither protected areas nor agricultural lands (where AES can be applied). Therefore, bird diversity declines in rural landscapes could continue unchecked. The observed conflict between sustainability goals such as increased building energy efficiency and biodiversity conservation suggests that sustainable rural development should better link modernisation with conservation measures, e.g. by constructing nesting sites when renovating and building new houses.</span></p>
Primary Dataset on Farmers' Adaptation Strategies to Climate Change and Sustainable Development Goals in Tanzania
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Data from: Climate impacts on the ocean are making the Sustainable Development Goals a moving target traveling away from us
1. Climate change is impacting marine ecosystems and their goods and services in diverse ways, which can directly hinder our ability to achieve the Sustainable Development Goals, set out under the 2030 Agenda for Sustainable Development. 2. Through expert elicitation and a literature review, we find that most climate change effects have a wide variety of negative consequences across marine ecosystem services, though most studies have highlighted impacts from warming and consequences to marine species. 3. Climate change is expected to negatively influence marine ecosystem services through global stressors – such as ocean warming and acidification – but also by amplifying local and regional stressors such as freshwater runoff and pollution load. 4. Experts indicated that all Sustainable Development Goals would be overwhelmingly negatively affected by these climate impacts to marine ecosystem services, with eliminating hunger being among the most directly negatively affected Sustainable Development Goal. 5. Despite these challenges, the Sustainable Development Goals aiming to transform our consumption and production practices and develop clean energy systems are found to be least affected by marine climate impacts. These findings represent a strategic point of entry for countries to achieve sustainable development, given that these two goals are relatively robust to climate impacts and that they are important pre-requisite for other Sustainable Development Goals. 6. Our results suggest that climate change impacts on marine ecosystems are set to make the Sustainable Development Goals a moving target traveling away from us. Effective and urgent action towards sustainable development, including mitigating and adapting to climate impacts on marine systems are important to achieve the Sustainable Development Goals, but the longer this action stalls the more distant these goals will become.
Data from: Climate impacts on the ocean are making the Sustainable Development Goals a moving target traveling away from us
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Reduced biodiversity in modernised villages: a conflict between sustainable development goals
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United Nations Environment Programme - Sustainable Development Goal 14(2022): Index of coastal eutrophication in Latin America
Validation campaign in support of the United Nations Environment - Sustainable Development Goal 14.1.1a of 2022: Index of coastal eutrophication in Latin America. This dataset contains validation data for ocean color satellite data products and collects nutrient data on eutrophication. The data will be used to evaluate the effectiveness of the satellite-derived indicators and to develop more specific, level 2 satellite data indicators for the member countries in the future.
Data Set Used for Biblometric Analaysis in "Optimizing Rainfall-Runoff Models Over Three Decades: Progress, Innovations, Challenges, and Insights for Sustainable Development Goals (SDGs) Based on Bibliometric Analysis"
<p>Data Set Used for Biblometric Analaysis in "Optimizing Rainfall-Runoff Models Over Three Decades: Progress, Innovations, Challenges, and Insights for Sustainable Development Goals (SDGs) Based on Bibliometric Analysis"</p>
Mapping Sustainable Development Goals to Citizen Science projects - Datasets
<p> This work presents opportunities, achievements, and future challenges in using computational analytics to better understand the connection between CS and the SDGs. The work in its status does not fully cover SDGs in CS, but it evaluates and shows the potential of the text-classification techniques for identifying SDGs in CS project descriptions and for assessing trends in connection of CS and SDGs based on available data. </p> <p>A total of 56 websites have been used to extract randomly 208 project descriptions from the CS Track database collected during 2019-2022.</p> <p><strong>Content and grouping: </strong></p> <ul> <li> <p>Compiled list of keywords for SDG mapping.</p> </li> <li> <p>Spreadsheet containing training data from SciStarter (set of projects associated with SDGs)</p> </li> <li> <p>Spreadsheet containing the list of projects associated with SDGs in relation to the different automatic classifiers (nCoder, ESA and OSDG) and manual coding.</p> </li> <li> <p>Presentation in CS Track ECSA event (8th October 2022, Berlin): CS-Track database: a central database of CS projects in Europe that can be key to understand the connection of CS and SDGs “Understanding the nature of Citizen Science in a rapidly changing world” </p> </li> <li> <p>The associated full report resulting from this study is in progress. Please contact the corresponding authors for further information.</p> </li> </ul>
ScienceDex guides
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International Brain Laboratory public data
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OpenNeuro
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