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2,163 results for “sustainability”
FAO and SAGARPA. (2012). Baseline of the Natural Resources Sustainability Program. Sustainable Land Use Subindex - Calculation Methodology. Mexico City (53 pp.) (FAO y SAGARPA. (2012). Línea de Base del Programa de Sustentabilidad de los Recursos Naturales. Subíndice de Uso Sustentable del Suelo - Metodología de Cálculo (53 pág.). Ciudad de México)
The lack of soil data is a complication that most soil scientists will encounter throughout their career; this critical aspect is exacerbated due to the excessive cost of soil surveying. Consequently, it is essential to develop strategies that guarantee the permanent accessibility of past soil sampling efforts. The main objective of this contribution is to release an entire dataset of soil samples surveyed by the Secretary of Agriculture, Livestock, Rural Development, Fisheries, and Food (SAGARPA) in collaboration with the Food and Agriculture Organization of the United Nations (FAO) in the year 2012, the dataset consists of more that 4000 compound samples surveyed on managed cropland. SAGARPAS's main objective was to generate a new index to assess and monitor the current and future state of soil when sustainable soil practices take place. A complete set of physicochemical properties were determined via laboratory analysis for all record in the dataset, namely: pH, EC, OM, BD, P, Sand, Silt, Clay, Texture, N, K, Ca, Mg, Na, CEC, Sodium Adsorption Ratio (SAR), Exchangeable Sodium Percentage (ESP), including the calculation of the Sustainable Soil Land Use Subindex (SSLUS). We presented a reviewed dataset with the potential to contribute to a large variety of studies, ranging from: agricultural pinpointing of the best conditions for crop production to digital soil mapping and modeling and agronomical studies. We also provide the original report on the developement of the dataset, indicating the names of creators and colaborators, as well as the methods of analysis and interpretation of the results. The new information is appealing for a wide diversity of users interested in soil traits across agricultural systems of Mexico.
Raw data for the submitted manuscript entitled "Mapping and Disposal of Irrigation Pipes for a Sustainable Management of Agricultural Plastic Waste", authors Ileana Blanco, Giuliano Vox, Fabiana Convertino, and Evelia Schettini
<p><span>The file regards the evaluation of plastic indexes and agricultural plastic waste quantities in Apulia region due to the use of irrigation pipes. The data is used to identify the critical areas for plastic waste production due to irrigation pipes.</span></p>
Survey data on climate policy in three countries (Peru, Ghana, Philippines) within the project "Sustainable Middle Classes in Middle Income Countries: Transforming Carbon Consumption Patterns (SMMICC)"
<p>The unprecedented growth of the new middle classes in middle income developing countries implies a strong growth in both consumption and carbon emissions. The research project Sustainable Middle Classes in Middle Income Countries (SMMICC) investigates the drivers of carbon consumption choices of the new middle classes and policy options to decrease their carbon footprints, including the implementation of carbon taxes</p> <p>The research of the authors generated quantitative data on the acceptability of carbon taxes in three countries (Peru, Ghana, Philippines).</p> <p> </p> <p><strong>The data is provided in the following formats:</strong></p> <p>- 2024-07-26_malerba_10.5281/zenodo.12662722_ghana.csv<br>- 2024-07-26_malerba_10.5281/zenodo.12662722_peru.csv<br>- 2024-07-26_malerba_10.5281/zenodo.12662722_philippines.csv</p> <p>- 2024-07-26_malerba_10.5281/zenodo.12662722_ghana.dta<br>- 2024-07-26_malerba_10.5281/zenodo.12662722_peru.dta<br>- 2024-07-26_malerba_10.5281/zenodo.12662722_philippines.dta</p> <p>Additionally, the codebooks on variables of questionnaire and political parties in each country are attached in a csv format.</p>
Dataset on the Index of Sustainable Economic Welfare for the EU27 and beyond.
<div>This dataset contains data about two ISEWs for the EU27, its individual Member States (MS), the UK and the US. Following Van der Slycken and Bleys (2023) (1), two variants of the ISEW are presented in this dataset: the ISEW_BCE accounts for the benefits and costs of the present and pasts activities experienced in the present and within a specific country (Benefits and Costs Experienced); the ISEW_BCPA accounts for the benefits and costs of present activities experienced in the present and in the future, both domestically and internationally (Benefits and Costs of Present economic Activities).</div> <div> </div> <div>This document contains different datasets. Two datasets contain a summary of the values of the ISEWs and their components in ‘per capita’ terms. One summary presents the results for the EU27 (and MS) and the other one presents the results for the UK and the US (Non-EU countries). Additionally, each component is presented in some details in different pages, allowing to see the value of the different subcomponents included in each component (and even the value of some items with subcomponents for some components).</div> <div> </div> <div>The period covered by this dataset is 1995-2020.</div> <div> </div> <div>All the components are described in the accompanying table and in the report.</div> <div> </div> <div> </div> <div>(1) Van der Slycken, J. and Bleys, B. (2023). Towards ISEW and GPI 2.0: Dealing with Cross-Time and Cross-Boundary Issues in a Case Study for Belgium. <em>Social Indicators Research</em>, 168(1):557-583.</div>
Sustainable Tourism Survey Dataset for the Northern Ecuadorian Amazon Region, 2024-2025
This dataset is based on a sustainability perception survey conducted at Perla Ecological Park, located in the Northern Ecuadorian Amazon, during December 2024 and January 2025. A total of 383 visitors participated in the study, which aimed to: (1) quantify and compare key sustainability indicators across PERLA’s management zones, (2) identify the most influential predictors of overall sustainable performance, and (3) derive and prioritize a set of integrated strategies that balance ecological conservation with economic viability. The survey instrument included Likert-scale, dichotomous, and thematic categorical items designed to assess public perceptions on tourism sustainability, natural and cultural resource management, institutional support, and visitor satisfaction. The research was carried out through a collaborative effort among multiple public universities and independent researchers, including two international institutions—one of them based in Ecuador—as part of a broader scientific initiative to inform evidence-based sustainability planning in protected areas. This dataset provides valuable insight for researchers, practitioners, and policymakers interested in sustainable tourism, visitor management, and participatory planning in biodiversity-rich environments.
Brain mechanisms underlying episodic future thinking of sustainable behaviors
Open the record for dataset details and reuse information.
Sustainability in Chemical Education - A Global Young Chemists Survey
<p>In 2020, young chemists of the German Young Chemists' Network (GDCh-JCF) designed a survey to get a snapshot of how their peers perceive the importance of sustainability in chemical education. With the help of the International Younger Chemists Network (IYCN) and the European Young Chemists' Network (EYCN) they were able to reach around 500 young chemists from 46 countries. Roughly half of the responses came from people that represented the German education system. Although the results need to be taken with a grain of salt as stated in the disclaimer (see .pdf document), they paint a picture of a desperate need for more sustainability topics to be covered by chemical education globally, particularly in Germany. More than 90% of young chemists globally call for more detailed coverage of sustainability topics while the current adequacy is only rated as good or better by a quarter of all respondents. A significant portion (>50% inside of Germany and >30% outside of Germany) does not feel prepared to contribute to the sustainability strategy of a company despite >80% rating the sustainability startegy of a company as an important factor for their career choice.</p>
Swiss public's acceptance and sustainability perceptions of food produced with chemical, digital and mechanical weed control measures and the influence of information source on technology perception in agriculture
<p><span>This data was obtained from an online survey conducted with the Swiss public from the two biggest language regions (German and French) in Switzerland. The survey was conducted in February 2023. Participants were recruited through a professional panel provider and quotas were used for age, gender and language region. The final sample contained </span><span>542 respondents. </span><span>In the first part of the survey, respondents provided basic sociodemographic information. In the second part, their sustainability perceptions regarding four different weed management practices (full-surface spraying, hoeing machine, spot spraying and precise spraying) were investigated. Respondents were then assigned to one of five information source groups, in which information on a hoeing and a milking robot was presented, using 5 different information sources (male/female farmer, male/female scientist, no source). Technology perception was assessed using several questions and aspects. Finally, respondents answered several questions assessing their attitudes towards the perception of farmers, food technology neophobia, chemophobia and the importance of naturalness. The survey can be used and adapted to different contents, aiming to investigate public perception of smart farming technologies and the influence of information sources on technology perception. </span></p>
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>
Analysis of two Methods for Aircraft Fuel Requirement Calculations in the Context of a novel Methodological Framework for LCA of Sustainable Aviation
<p>This Microsoft Excel file contains equations to compare different approaches to calculate fuel efficiency ("energy use" in [MJ/t*km]) of aircraft over a specific distance at a specific payload. </p> <p>Two approaches are compared: A novel approach by <a href="10.1016/j.scitotenv.2023.163881" target="_blank" rel="noopener">Su-ungkavatin et al.</a> and the more established approach well documented by eg. <a href="https://www.fzt.haw-hamburg.de/pers/Scholz/arbeiten/TextBurzlaff.pdf" target="_blank" rel="noopener">Burzlaff</a> or <a href="http://www.aircraftmonitor.com/uploads/1/5/9/9/15993320/aircraft_payload_range_analysis_for_financiers___v2.pdf" target="_blank" rel="noopener">Ackert</a>.</p> <p>This work augments a Letter to the Editor we submitted to the journal <a href="https://www.sciencedirect.com/journal/science-of-the-total-environment" target="_blank" rel="noopener">Science of the Total Environment</a>.</p>
Sustainable Agricultural Pathways in Europe (SIPATH) – land use data
<p>The published land use data were part of the project “What is Sustainable Intensification? Operationalizing Sustainable Agricultural Pathways in Europe (SIPATH)”, which was funded by the Swiss National Science Foundation (grant no. CRSII5_183493). The overall objective of this project was to assess short-term trajectories in agriculture land use and landscape structure over a period of 20 years for 16 individual study sites located in 11 countries, ranging from the Mediterranean to the boreal zone. The following datasets illustrate land use data that were generated for the different study sites at two points in time between 2000 and 2020, depending on data availability. The data collection process encompassed land use mapping through visual image interpretation of orthorectified aerial photographs using geographic information systems (ESRI ArcGIS Pro). Land use digitalization was conducted by two scientists in Switzerland, who were in contact with the respective project partners in the study countries to exchange expert knowledge. Minimal mapping unit was 25m<sup>2</sup> for areal elements. Land cover was classified following the European Nature Information System (EUNIS) habitat classification (EEA 2019). The broadest habitat classes were systematically mapped in the study sites, with each covering an area of approximately 25 km². While EUNIS focuses on habitat types, the study, however, targeted the intensity of agricultural land-use, several EUNIS classes were complemented with levels of land-use intensities. This was applied for grassland, olive groves and fruit orchards. The spatial resolution of the orthophotos ranged from 25cm to 2m. Accordingly, there were situations in which the spatial resolution was insufficient to accurately determine the land use. In such cases, either orthophotos from about the same year were consulted, possibly showing different phenological stages, or land use statistics and expert judgement based on local expert knowledge of the respective study area were applied.</p> <p> </p> <p>Reference:</p> <p>EEA, 2019. EUNIS habitat classification 2007 (Revised descriptions 2012) amended 2019. Copenhagen (<a href="https://www.eea.europa.eu/ds_resolveuid/27788ca43d9e4f2e9477b15df88d20be" target="_blank" rel="noopener">Permalink</a>)</p>
Database of permacultural adoption responses in Mexicali, BC, Mexico. based on Circular Economy, Knowledge Management, and Sustainability policies
<p>Database documenting the perspectives of citizens in Mexicali, Baja California, Mexico, regarding the adoption of permaculture practices. The study is analyzed through the lenses of Knowledge Management, Circular Economy, and Sustainability Policies. The data was collected during the summer of 2024. </p>
Seasonal to decadal western boundary current variability from sustained ocean observations
<p> </p> <p>Cross-transect velocity time series for HR-XBT transects IX21, PX30, and PX40 in support of: <a href="http://doi.org/10.1029/2022GL097834">Chandler et al. (2022). Seasonal to decadal western boundary current variability from sustained ocean observations.</a> </p> <p> </p> <p>Each netcdf file includes the following variables:</p> <ul> <li>time</li> <li>longitude</li> <li>latitude</li> <li>depth</li> <li>vel</li> <li>gvel_LNM</li> <li>long_for_vel_err</li> <li>lat_for_vel_err</li> <li>vel_err</li> <li>wbc_transport</li> </ul> <p> </p> <p>See also <a href="https://github.com/mlchandler/wbc_sustained_obs">https://github.com/mlchandler/wbc_sustained_obs</a></p>
A Novel Crop Shortlisting Method for Sustainable Agricultural Diversification Across EU (Italy)
<p>In order to shortlist possible options from a pool of 2700 crops, a crop-climate-soil matching ex-ercise was performed across Italian territory and crops with more than 70% suitability where chosen for further analysis. In the second phase, a multicriteria ranking index was employed to assign ranks to chosen crops of 4 main types; (i) cereals and pseudocereals, (ii) legumes, (iii) starchy roots/ tubers and (iv) vegetables. In order to provide a comprehensive analysis, major crops that are grown in the region where also included in the analysis. The results of evaluation of 4 major criteria (a) calorie and nutrition demand b) functions and uses c) availability and acces-sibility to their genomic material d) possession of adaptive traits, and e) physiological traits) re-vealed the potential for teff, faba bean, cowpea, green arrow arum, Jerusalem artichoke, Fig-leaved Gourd and Watercress. </p>
Software Architecture Assessment for Sustainability: A Case Study
<h3>Replication Package: Software Architecture Assessment for Sustainability: A Case Study</h3> <p><br>This repository contains the supplementary material to support the paper published at the International Conference on Software Architecture (ECSA) 2024 titled, "Software Architecture Assessment for Sustainability: A Case Study". This repository can be used to replicate the study and carry out a Software Architecture Evaluation of other software systems.<br><br>The online version can be browsed on the linked <a href="https://github.com/S2-group/rep-pkg-ecsa-2024-SA-assessment-for-sustainability-a-case-study/tree/v1.0.0" target="_blank" rel="noopener">Github Repository</a></p> <p> </p> <p> </p>
Barley as a production platform for oral vaccines in sustainable fish aquaculture
<p>Experimental data for the study "Barley as a production platform for oral vaccines in sustainable fish aquaculture"</p>
Data and analysis script for "The (non)effect of personalization in climate texts on credibility of climate scientists: A case study on sustainable travel"
<p>Dataset and analysis script for the article "<strong>The (non)effect of personalization in climate texts on credibility of climate scientists</strong><strong>: A case study on sustainable travel</strong>", under review at Geoscience Communication (https://doi.org/10.5194/egusphere-2024-543)</p>
Process modeling, environmental and economic sustainability of the valorization of whey and eucalyptus residues for resveratrol biosynthesis
<p>Tables included in the article "Process modeling, environmental and economic sustainability of the valorization of whey and eucalyptus residues for resveratrol biosynthesis"</p>
An Information Ecology for Sustainable Agriculture
<p>Feeding 10 billion people by 2050 will require transformative changes to our food production systems<sup>1, 2</sup>. Climate change<sup>3-6</sup>, water scarcity and urban demand<sup>7</sup>, herbicide-resistant weeds<sup>8</sup>, and declining soil<sup>9</sup> and water quality<sup>10,11</sup> are increasing crop production risks, lowering yields, and negatively impacting the environment. The increased use of sustainable agricultural practices such as reduced-tillage<sup>12</sup>, diversified crop rotations<sup>13</sup>, and integrated weed management especially through incorporation of cover crops<sup>14</sup>, are necessary to achieve this goal. However, farmers repeatedly cite management complexity and a need for site- and system-specific information to overcome the barriers to adoption<sup>15, 16</sup>. Sustainable agriculture thus demands precision tools to account for genetic and environmental nuances in complex, adaptive, agricultural systems, while simultaneously responding to the social, technological, and economic contexts of farming.</p> <p><em>Precision Sustainable Agriculture</em><sup>17</sup> uses a data-driven and human-centered approach to the research and development of on-farm monitoring tools, cloud-based, information management tools for large-scale agricultural research projects, decision support tools for agriculture data stakeholders, and modeling and analysis tools for use in sustainable agriculture. We are laying the foundation of an information ecology<sup>18</sup> for sustainable agriculture: a system of tools, data, methods, and actors to maximize farm productivity, profitability, and sustainability.</p> <p>References:</p> <ol> <li>Liu J, Folberth C, Yang H, Röckström J, Abbaspour K, Zehnder AJB. A Global and Spatially Explicit Assessment of Climate Change Impacts on Crop Production and Consumptive Water Use. PLOS ONE. 2013 Feb 27;8(2):e57750.</li> <li>Schmidhuber J, Tubiello FN. Global food security under climate change. PNAS. 2007 Dec 11;104(50):19703–8.</li> <li>Allan RP, Soden BJ. Atmospheric Warming and the Amplification of Precipitation Extremes. Science. 2008 Sep 12;321(5895):1481–4.</li> <li>Gornall J, Betts R, Burke E, Clark R, Camp J, Willett K, et al. Implications of climate change for agricultural productivity in the early twenty-first century. Philosophical Transactions of the Royal Society B: Biological Sciences. 2010 Sep 27;365(1554):2973–89.</li> <li>Rosenzweig C, Elliott J, Deryng D, Ruane AC, Müller C, Arneth A, et al. Assessing agricultural risks of climate change in the 21st century in a global gridded crop model intercomparison. Proc Natl Acad Sci USA. 2014 Mar 4;111(9):3268–73.</li> <li>Trenberth KE, Dai A, Schrier G van der, Jones PD, Barichivich J, Briffa KR, et al. Global warming and changes in drought. Nature Climate Change. 2014 Jan;4(1):17–22.</li> <li>Flörke M, Kynast E, Bärlund I, Eisner S, Wimmer F, Alcamo J. Domestic and industrial water uses of the past 60 years as a mirror of socio-economic development: A global simulation study. Global Environmental Change. 2013 Feb 1;23(1):144–56.</li> <li>Heap I. Global perspective of herbicide-resistant weeds. Pest Management Science. 2014 Sep 1;70(9):1306–15</li> <li>Williams A, Hunter MC, Kammerer M, Kane DA, Jordan NR, Mortensen DA, et al. Soil Water Holding Capacity Mitigates Downside Risk and Volatility in US Rainfed Maize: Time to Invest in Soil Organic Matter? PLoS ONE. 2016;11(8):e0160974.</li> <li>Goolsby DA, Battaglin WA, Lawrence GB, Artz RS, Aulenbach BT, Hooper RP, et al. Flux and sources of nutrients in the Mississippi-Atchafalya river Basin topic 3 report. :156.</li> <li>Boyer EW, Goodale CL, Jaworski NA, Howarth RW. Anthropogenic nitrogen sources and relationships to riverine nitrogen export in the northeastern U.S.A. Biogeochemistry. 2002 Apr 1;57(1):137–69.</li> <li>Zibilske LM, Bradford JM. Soil Aggregation, Aggregate Carbon and Nitrogen, and Moisture Retention Induced by Conservation Tillage. Soil Science Society of America Journal. 2007 May 1;71(3):793–802.</li> <li>Cox HW, Kelly RM, Strong WM. Pulse crops in rotation with cereals can be a profitable alternative to nitrogen fertiliser in central Queensland. Crop Pasture Sci. 2010 Sep 30;61(9):752–62.</li> <li>Mortensen DA, Egan JF, Maxwell BD, Ryan MR, Smith RG. Navigating a Critical Juncture for Sustainable Weed Management. BioScience. 2012 Jan 1;62(1):75–84.</li> <li>Dunn M, Ulrich-Schad JD, Prokopy LS, Myers RL, Watts CR, Scanlon K. Perceptions and use of cover crops among early adopters: Findings from a national survey. Journal of Soil and Water Conservation. 2016 Jan 1;71(1):29–40.</li> <li>Myers R, Watts C. Progress and perspectives with cover crops: Interpreting three years of farmer surveys on cover crops. Journal of Soil and Water Conservation. 2015 Nov 1;70(6):125A-129A.</li> <li>Mirsky, S, Reberg-Horton, C, Raturi, A. Precision Sustainable Agriculture. Available: <a href="http://precisionsustainableag.org">http://precisionsustainableag.org</a></li> <li>Nardi B, O’ Day V. Information ecologies: Using technology with heart. MIT Press; 1999.</li> </ol>
sOCEL 2.0: A Sustainability-Enriched OCEL of a Hinge Production Process
<h2><strong>General Description</strong></h2> <p>The simulated process describes the production of hinges. It begins with a steel coil which is split into steel sheets which are heated, formed and coated before being split into the male and female parts. Subsequently, both components are assembled with a steel pin and packed. The process is describes using events and objects</p> <p>This is an artificial event log according to the <a href="https://www.ocel-standard.org/">OCEL 2.0 Standard</a> defined in Berti et al. simulated using an extended version of CPN-Tools with a connector to climatiq API. The extension to CPN-Tools and the event log simulation are results of the Bachelor Thesis project of Marco Heinisch at the Chair for Process and Data Science at RWTH Aachen University. </p> <h2><strong>Process Overview</strong></h2> <p>In this example scenario, hinges are produced in a German facility. The production process is divided into three workstations, all supervised by a single worker. The production line is started by this employee workstations for workstations every morning at 7:30. The employee pauses work for a lunch break at 12:00 pm and then continues working from 1:00 pm until 3:00 pm. The production process starts with two primary inputs: steel coils and steel pins. The steel pins, also known as steel rods, are each 3.0 cm long and are used to hold the leaves together. The steel coils hold a rolled steel strip that is approximately 0.3 centimeters thick and 3.0 centimeters wide. This steel strip is then processed into hinge leaves through the following steps.</p> <p>In the first operation of our model, one steel coil at a time is processed at the first workstation. Each coil is continuously cut into steel sheets that are 3 cm in length. As these strips are cut, we assign each resulting steel sheet an identification number. This process continues until there is only an unusable steel remainder of the steel coil, which we do not track further in this process. This remainder needs to be classified as waste in preprocessing. The amount of waste created during the production of rolled steel strips varies depending on the initial length and could be optimized. The cut steel sheets are handled in a line and heat-treated in a gas oven. A different oven technology could reduce impacts. Then, each 3.0 cm steel sheet is rolled on one side to form a barrel for the insertion of hinge pins. This operation is performed using a hydraulic press powered by electricity. In our model, we refer to these produced parts as FormedParts. Finally, in a very energy intense step, plasma coating is conducted using a specialized machine. The FormedParts are automatically collected in a transport carriage. If the carriage reaches full capacity, an alert signals the operator to manually move the batch of FormedParts to the second workstation.</p> <p>At the second workstation, <em>FormedParts </em>are shaped into alternating male and female hinge leaves (MalePart and FemalePart) using a laser cutting machine. This is achieved<br>by cutting out specific sections from each part. Notably, the method generates more waste compared to an alternative process where the male and female parts are directly cut out from the coil and then shaped further. The metal waste containing the coat is hypothetically not recyclable, which is reflected in a separate impact indicator. The waste created during this operation is not recorded, however, the weight of the workpiece object before and after the material removal is recorded. </p> <p>In the next step, the worker manually checks both FemalePart and MalePart for quality criteria, which is mass, representing various possible measurable attributes, including geometrics and material properties. If everything is within tolerance, the parts are placed on a moving band to the third workstation. If not, the part represents waste, which again is to be quantified in a preprocessing step. At the next station, an assembling machine uses one MalePart, one FemalePart, and one SteelPin to create a Hinge. The material origin of a hinge or its parts could potentially be discovered. A set of 10 hinges is automatically buffered and placed into a cardboard box by a packaging machine.</p> <h3><strong>Sustainability Data</strong></h3> <p>The event log is enhanced with sustainability-related attributes for objects and events. These attributes can be identified by their naming structure as they begin with either i, p or s and include a unit in square brackets at the end of the attribute name structure, i.e., "i_electricity[kWh]". These additional attribute are classifies into three different categories of data:</p> <ul> <li><strong>Impact Indicators</strong> ("i_"): contain information on all different impacts caused by an event, object, or process. Impact Indicators should be based on some sort of sustainability framework, such as <a href="https://link.springer.com/article/10.1007/s11367-016-1246-y">ReCiPe2016 standard</a>. In this event log, all relevant impact indicators considered in reviewed literature on manufacturing assessments are included according to the Climatiq-API specification to show the potential of automated assessment. Indicators further represent LCI-Items according to the LCA standard. However, to both indicate their relevance and a possible inability to get this data from the process directly some of the values read "??" as they have to be estimated using given impact paqrameters.</li> <li><strong>Impact Parameters </strong>("p_"): As data availability issues may lead to an inavailability to determine impact indicators directly, impact parameters can be included into the event log to support the estimation of impact indicators. These process-specific parameters include, e.g., material, mass, volume, geometric properties, and operation duration.</li> <li><strong>Impact Scores</strong> ("s_"): Impact scores describe the overall effect of a system or event on the environment in a standardised manner. Multiple impact scores for different impact categories, such as climate change or toxicity, can be calculated and represented as impact scores. This process involves aggregating and weighting individual impact indicators according to a standardized methodology, such as ReCiPe2016. Climatic API (used for the simulation of the event log) uses values for impact indicators to return impact scores. </li> </ul> <h2><strong>General Properties </strong></h2> <p>An overview of log properties is given below.</p> <table> <tbody> <tr> <th>Property</th> <th>Value</th> </tr> </tbody> <tbody> <tr> <td>Event Types</td> <td>11</td> </tr> <tr> <td>Object Types</td> <td>12</td> </tr> <tr> <td>Events</td> <td>~3850</td> </tr> <tr> <td>Objects</td> <td>~23700</td> </tr> </tbody> </table> <h2><strong>Process Simulation Design Process</strong></h2> <p>Our result is a simplified hinge production line, modeled as a Colored Petri Net (CPN) in <a href="https://cpntools.org/">CPN Tools</a>, a tool for editing and creating colored Petri nets. This model is an idealized representation of an exemplary manufacturing process. It is designed to examine and present the use case of SD in OCPM and does not realistically represent a specific manufacturing process in detail.</p> <p>The model’s design process was structured into four steps. First, the workpiece flow was outlined, identifying the sub-products used in hinge production.<br>Next, control flow elements were incorporated, adding batching and queuing behaviors as well as quality control procedures. Sustainability data relevant to this example were integrated into events and objects following the sOCEL specification. Finally, the simulation of values such as waiting times and weights now includes randomness and deviations.</p> <h2><strong><br>Simulation Model </strong></h2> <p>The repository with the CPN-Tools model as well as the CPN-Tools extension including the connector to Climatiq API can be found in the following Repositiry: <a href="https://github.com/rwth-pads/sOCEL">https://github.com/rwth-pads/sOCEL</a></p> <p>Further information on the simulated process, the simulation model and the CPN-Tools extension can be found in <a href="https://www.pads.rwth-aachen.de/go/id/bhsfqz" target="_blank" rel="noopener">Marco's thesis</a> entitled "Integrating Sustainability Data into Event Logs for Object-Centric Process Mining".</p> <h2><strong>Acknowledgements</strong></h2> <p>Funded under the Excellence Strategy of the Federal Government and the Länder<em>. </em>Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy - EXC-2023 Internet of Production - 390621612. We also thank the Alexander von Humboldt (AvH) Stiftung for supporting our research.</p> <p>Special thanks are also dedicated to Marco's Family and friends Lennart, Franziska, and Maxim for their support and valuable feedback.</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.