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zenodo40/100

Order Management Object-centric Event Log in OCEL 2.0 Standard

<p><strong>General Description</strong></p> <p>This process describes the management of customer orders within a company, comprising both the registration and payment of incoming orders, as well as the process of packing and shipping these orders. For these tasks, our company deploys staff in their sales, warehousing, and shipment departments.</p> <p>This is an artificial&nbsp;event log according to the&nbsp;<a href="https://www.ocel-standard.org/">OCEL 2.0 Standard</a>&nbsp;simulated using CPN-Tools. Both the CPN and the&nbsp;SQLite can be downloaded.&nbsp;The simulation is an extension of the <a href="https://www.ocel-standard.org/beta/event-logs/simulations/legacy-logs">order management log</a>&nbsp;in the former OCEL standard.</p> <p><strong>Process&nbsp;Overview</strong></p> <p>At our company,&nbsp;<strong>customers</strong>&nbsp;place&nbsp;<strong>orders</strong>&nbsp;<em>(place order)</em>&nbsp;for different&nbsp;<strong>products</strong>&nbsp;in varying amounts. Each product type has a price and a weight. In the current market situation, there is an inflation that irregularly leads to an increase of prices. These price rises have a negative impact on customers&rsquo; purchasing power, i.e., on order volumes.</p> <p>When a customer places an order, this order is assigned to an&nbsp;<strong>employee</strong>&nbsp;of our company&rsquo;s sales department. To foster customer satisfaction, our company has a single-face-to-customer policy. This means that per customer there is one primary sales representative who ought to render all services related to that customer. If that first representative is unavailable, a second sales representative should take care of the order. Should this employee be also unavailable, the order has to be managed by another employee. The tasks of sales employees comprise the registration&nbsp;<em>(confirm order)</em>&nbsp;as well as payment processing&nbsp;<em>(payment reminder, pay order)</em>.</p> <p>In parallel to this, the shipment of goods is prepared. For this, the stock of our company is checked by an employee of the warehousing department for the availability of the ordered&nbsp;<strong>items</strong>. If necessary, the warehouser reorders the item&nbsp;<em>(item out of stock, reorder item)</em>. Items ready for shipment are collected&nbsp;<em>(pick item)</em>&nbsp;for the placement into&nbsp;<strong>packages</strong>&nbsp;that are addressed to single customers. Here, it may happen that a package content relates to multiple orders, and order volumes are distributed over multiple packages.</p> <p>After all items allocated to a package have been picked, the package is compiled by a warehousing employee&nbsp;<em>(create package)</em>. Later on, this package is picked up by a shipment employee for transport&nbsp;<em>(send package)</em>. According to another policy, a warehousing employee should provide assistance to the shipment employee in loading the package. However, oftentimes shippers act contrary to that policy and load packages alone or together with a second shipment employee.</p> <p>Finally, the package is shipped. Deliveries may fail repeatedly&nbsp;<em>(failed delivery)</em>&nbsp;until successful delivery&nbsp;<em>(package delivered)</em>.</p> <p>The figure below depicts the process in a simplified manner, using an informal process notation to describe the control-flow and the involved object types. A formal description is given along with the artifacts in the next section.</p> <p>Further information can be found at:&nbsp;<a href="https://www.ocel-standard.org/event-logs/simulations/order-management/">https://www.ocel-standard.org/event-logs/simulations/order-management/</a></p> <p><strong>General Properties&nbsp;</strong></p> <p>An overview of log properties is given below.</p> <table> <thead> <tr> <th>Property</th> <th>Value</th> </tr> </thead> <tbody> <tr> <td>Event Types</td> <td>11</td> </tr> <tr> <td>Object Types</td> <td>6</td> </tr> <tr> <td>Events</td> <td>21008</td> </tr> <tr> <td>Objects</td> <td>10840</td> </tr> </tbody> </table> <p><strong>Control-Flow Behavior&nbsp;</strong></p> <p>The behavior of the log is described by a&nbsp;<a href="https://www.ocel-standard.org/beta/event-logs/simulations/logistics/images/full-ocpn.svg">respective object-centric Petri net</a>. Also, individual object types exhibit behavior that can be described by simpler Petri nets. See below.</p> <table> <thead> </thead> <tbody> <tr> <td><a href="https://www.ocel-standard.org/beta/event-logs/simulations/order-management/images/orders-ocpn.svg">orders</a></td> <td><a href="https://www.ocel-standard.org/beta/event-logs/simulations/order-management/images/customers-ocpn.svg">customers</a></td> </tr> <tr> <td><a href="https://www.ocel-standard.org/beta/event-logs/simulations/order-management/images/items-ocpn.svg">items</a></td> <td><a href="https://www.ocel-standard.org/beta/event-logs/simulations/order-management/images/employees-ocpn.svg">employees</a></td> </tr> <tr> <td><a href="https://www.ocel-standard.org/beta/event-logs/simulations/order-management/images/packages-ocpn.svg">packages</a></td> <td><a href="https://www.ocel-standard.org/beta/event-logs/simulations/order-management/images/products-ocpn.svg">products</a></td> </tr> <tr> <td><a href="https://www.ocel-standard.org/beta/event-logs/simulations/order-management/images/full-ocpn.svg"><strong>Full object-centric Petri net</strong></a></td> </tr> </tbody> </table> <p><strong>Object Relationships&nbsp;</strong></p> <p>The company pursues the &quot;one-face-to-the-customer&quot; policy, in which every customer has a dedicated sales representative as well as a deputy (secondary representative). These relationships are described in the log.</p> <table> <thead> <tr> <th>Source Object Type</th> <th>Target Object Type</th> <th>Qualifier</th> </tr> </thead> <tbody> <tr> <td>employees</td> <td>customers</td> <td>primarySalesRep</td> </tr> <tr> <td>employees</td> <td>customers</td> <td>secondarySalesRep</td> </tr> </tbody> </table> <p>Additionally,&nbsp;object-to-object relations can emerge at executions of specific activities:</p> <table> <thead> <tr> <th>Activity</th> <th>Source Object Type</th> <th>Target Object Type</th> <th>Qualifier</th> </tr> </thead> <tbody> <tr> <td>create package</td> <td>package</td> <td>employee</td> <td>packed by</td> </tr> <tr> <td>send package</td> <td>package</td> <td>employee</td> <td>forwarded by</td> </tr> <tr> <td>send package</td> <td>package</td> <td>employee</td> <td>shipped by</td> </tr> </tbody> </table> <p><strong>Simulation Model&nbsp;</strong></p> <p>The CPN used to create this event log can also be downloaded.To obtain simulated data, extract the linked ZIP file and play out the CPN therein, e.g., by using&nbsp;<a href="https://cpntools.org/">CPN Tools</a>.</p> <p>The play-out produces CSV files according to the schema of OCEL2.0. The provided jupyter notebook can&nbsp;be used to convert these files to an SQLite dump.</p> <p>For a technical documentation of the simulation model, please open the attached CPN with CPN Tools and see the annotations therein.</p> <p><strong>Acknowledgements</strong></p> <p>Funded under the Excellence Strategy of the Federal Government and the L&auml;nder<em>.&nbsp;</em>We also thank the Alexander von Humboldt (AvH) Stiftung for supporting our research.</p>

opencc-by-4.0Sep 2023View details →
zenodo40/100

Develop protocols to manage fouling on blue mussels

<p>Aim: Develop protocols for sea-based fouling treatment on blue mussels (<em>Mytilus edulis</em>) at an industrial scale</p> <p>1) Settlement dynamics of tube worms was evaluated using field monitoring.</p> <p>2) Fouling treatments were evaluated using lab trials (in tanks) for evaluation of effects of heat treatment of fouling organisms on mussels. A range of different temperatures and exposure times were evaluated. The data consists of parameters associated with the treatments (temperature) and survival of mussels, survival of fouling organisms (especially tube worms). Data originates from the Swedish west coast and was collected during 2020-2021.</p>

opencc-by-4.0Oct 2023View details →
zenodo40/100

"I'm something of an untrained, unofficial cultural anthropologist myself. Ihave a business interviewing people to capture their personal histories. I'm always interested how people fit into their world and how they affect their world. I'm a graphic designer who works in the same building as the printing presses that I recorded. Iwalk past the presses every day on my way to talk to the folks in the prepress department. I'm on friendly but not drinking terms with the pressmen. I'm a friend with the prepress manager. Three Heidelberg presses are installed side by side in an open warehouse-like room. The presses are about twenty feet long and about five feet high. With their series of four humps or mounds where each printing cylinder is located, the presses remind one of giant, gray, mechanical caterpillars. Each press has a cyan cylinder, a magenta cylinder, a yellow cylinder and a black cylinder – so the humps are brightly colored. The presses are well lit by banks of fluorescent lights hanging from the ceiling over each press. When you walk into the press room you hear the sound of rock music blaring from a boom box radio mixed with the general din of the presses. It is only when you walk up to a press like Idid for the recordings that you really start to hear the individual strains of clicking, clacking and mechanical, syncopated chattering. When I made my recordings I was intrigued by the subtle variations in the sounds produced by these machines that aren't apparent when you first walk through the door. The pressmen were kind enough to allow me to walk right up to the presses and poke my microphone quite close to the rotating press cylinders. Iuse a Danish Pro Audio microphone about the size of a pencil eraser. An extremely sensitive mic with the capacity for capturing loud sounds such as the presses up close. Rotating the mic to one side or the other focused on the unique sounds coming from one cylinder or the other." [Kevin/KMerrell]18 in Collecting Sounds. Online Sharing of Field Recordings as Cultural Practice

"I'm something of an untrained, unofficial cultural anthropologist myself. Ihave a business interviewing people to capture their personal histories. I'm always interested how people fit into their world and how they affect their world. I'm a graphic designer who works in the same building as the printing presses that I recorded. Iwalk past the presses every day on my way to talk to the folks in the prepress department. I'm on friendly but not drinking terms with the pressmen. I'm a friend with the prepress manager. Three Heidelberg presses are installed side by side in an open warehouse-like room. The presses are about twenty feet long and about five feet high. With their series of four humps or mounds where each printing cylinder is located, the presses remind one of giant, gray, mechanical caterpillars. Each press has a cyan cylinder, a magenta cylinder, a yellow cylinder and a black cylinder – so the humps are brightly colored. The presses are well lit by banks of fluorescent lights hanging from the ceiling over each press. When you walk into the press room you hear the sound of rock music blaring from a boom box radio mixed with the general din of the presses. It is only when you walk up to a press like Idid for the recordings that you really start to hear the individual strains of clicking, clacking and mechanical, syncopated chattering. When I made my recordings I was intrigued by the subtle variations in the sounds produced by these machines that aren't apparent when you first walk through the door. The pressmen were kind enough to allow me to walk right up to the presses and poke my microphone quite close to the rotating press cylinders. Iuse a Danish Pro Audio microphone about the size of a pencil eraser. An extremely sensitive mic with the capacity for capturing loud sounds such as the presses up close. Rotating the mic to one side or the other focused on the unique sounds coming from one cylinder or the other." [Kevin/KMerrell]18

opencc-by-4.0Dec 2019View details →
zenodo40/100

GIS and Pollution Data: Designating Regional Airsheds for Air Quality Management in India

<p>Full journal article published here<br><strong>Designating Airsheds in India for Urban and Regional Air Quality Management<br></strong><a href="https://doi.org/10.3390/air2030015" target="_blank" rel="noopener">https://doi.org/10.3390/air2030015</a><strong><br></strong></p> <p>[Summary presentation&nbsp;<a href="https://urbanemissions.info/wp-content/uploads/docs/UEinfo-Designating-Airsheds-in-India.pptx">download</a>]</p> <p>Datasets used for proposing India's 15 regional airsheds for air quality management are the following</p> <p>PM2.5 Datasets<br>Raw data source: <a href="https://sites.wustl.edu/acag/datasets/surface-pm2-5">https://sites.wustl.edu/acag/datasets/surface-pm2-5</a></p> <ul> <li>Gridded 0.1 degree resolution source apportionment results from WUSTL's global model simulations<br>File: india_data_pm25_wustl_source_cont_0p1deg.xlsx<br>Aggregated Source definitions used in this presentation <ul> <li>1. DUST = Anthropogenic dust = AFCID</li> <li>2. WINDUST = Wind erosion (dust storms) = WDUST</li> <li>3. WASTE = Waste burning = WST</li> <li>4. RESI = All commercial and residential cooking, lighting, and heating = RCOC + RCOO + RCORbiofuel + RCORcoal + RCORother</li> <li>5. TRANS = All transport (excluding aviation) = ROAD + NRTR + SHP</li> <li>6. POWER = Energy generation = ENEcoal + ENEother</li> <li>7. INDUS = All industries and product use = INDcoal + INDother + SLV</li> <li>8. BIOB = Biomass burning, including forest fires and agricultural waste burning = GFEDoburn + GFEDagburn</li> <li>9. AGR = Agricultural activities (excluding agricultural waste burning) = AGR</li> <li>10. OTHER = All others = OTHER</li> </ul> </li> <li>Gridded 0.1 degree resolution, reanalysis data from WUSTL's global model simulations<br>File: india_data_pm25_wustl_reanalysis_0p1deg.xlsx<br>Time period: 1998 to 2022, annual averages</li> <li>Gridded 0.1 degree achive for monthly averages from WUSTL's global model simulations<br>File: <a href="https://www.urbanemissions.info/wp-content/uploads/misc/IndiaSubcontinent-Gridded-Monthly-WUSTL-v4.rar">Download-44MB</a></li> </ul> <p>Population Datasets<br>Raw data source: <a href="https://landscan.ornl.gov">https://landscan.ornl.gov</a></p> <ul> <li>Gridded 0.1 degree resolution population density data<br>File: india_data_population_2021_0p1deg.xlsx</li> </ul> <p>GIS databases used in this study</p> <ul> <li>ESRI shapefile of 0.1 x 0.1 degree mesh file for the Indian Subcontinent covering longitudes from 67E to 99E and latitudes from 7N to 39N<br>File: india_gis_grids-0.1x0.1deg.rar</li> <li>ESRI shapefile of India administrative level 2 data - 28 states and 8 union territories (as of December 2023)<br>File: india_gis_states28+8_2023.rar</li> <li>ESRI shapefile of India administrative level 3 data - 755 districts (as of December 2023): district23 and states23 codes are re-designed for emissions and pollution mapping and data tracking purposes<br>File: India_gis_districts755_2023.rar (original source: <a href="https://projects.datameet.org/maps">https://projects.datameet.org/maps</a>)</li> <li>ESRI shapefile of India's Agro-Climatic zones<br>File: india_gis_agroclimatic_zones.rar (original source: <a href="https://karnataka.data.gov.in/resource/boundaries-agro-climatic-regions">https://karnataka.data.gov.in/resource/boundaries-agro-climatic-regions</a>&nbsp;</li> <li>ESRI shapefile of India's meteorological sub-divisions<br>File: india_gis_meteo_subdivisions.rar (original source: <a href="https://mausam.imd.gov.in/">https://mausam.imd.gov.in</a>)</li> </ul>

opencc-by-4.0May 2024View details →
ClinicalTrials.gov40/100

A Study Aimed to Assess the Needs of Subjects With Sickle Cell Disease and Healthcare Professionals Managing Sickle Cell Disease Patients in Selected Nigerian Centres

ClinicalTrials.gov study NCT04505969. IPD Sharing: YES. Countries: 1. Publications: 7.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov40/100

Personalized Trials for Stress Management Against Standard of Care

ClinicalTrials.gov study NCT05408832. IPD Sharing: YES. Countries: 1. Publications: 1.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov40/100

The EMBER Trial for Weight Management Engagement

ClinicalTrials.gov study NCT05424081. IPD Sharing: YES. Countries: 1. Publications: 1.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov40/100

Cognitive Training for Diabetes Self-Management

ClinicalTrials.gov study NCT04831775. IPD Sharing: NO. Countries: 1. Publications: 2.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov40/100

Mobile Self-Management Program for Stress Reduction in Young Adults

ClinicalTrials.gov study NCT07174544. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov40/100

Development of Continuous Glucose Monitoring System Cohort for Personalized Diabetes Prevention and Management Platform

ClinicalTrials.gov study NCT04369833. IPD Sharing: NO. Countries: 1. Publications: 11.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov40/100

Log2Lose: Incenting Weight Loss and Dietary Self-monitoring in Real-time to Improve Weight Management Among Adults With Obesity

ClinicalTrials.gov study NCT04770909. IPD Sharing: YES. Countries: 1. Publications: 2.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov40/100

Enhancing Survivorship Care Planning for Patients With Localized Prostate Cancer Using A Couple-focused Web-based Tailored Symptom Self-management Program

ClinicalTrials.gov study NCT04350788. IPD Sharing: YES. Countries: 1. Publications: 1.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov40/100

Management of LDL-cholesterol With Inclisiran + Usual Care Compared to Usual Care Alone in Participants With a Recent Acute Coronary Syndrome

ClinicalTrials.gov study NCT04873934. IPD Sharing: YES. Countries: 1. Publications: 0.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov40/100

Randomized Clinical Trial on Clinical Management of ASCUS and LSIL (ALTS)

ClinicalTrials.gov study NCT01131312. IPD Sharing: YES. Countries: 1. Publications: 3.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov40/100

Sleep Management And Recovery After Traumatic Brain Injury in Kids: Pilot Intervention of Melatonin

ClinicalTrials.gov study NCT04932096. IPD Sharing: YES. Countries: 1. Publications: 3.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov40/100

A Study to Evaluate the Safety and Efficacy of Elagolix for the Management of Heavy Menstrual Bleeding Associated With Uterine Fibroids in Premenopausal Women

ClinicalTrials.gov study NCT03886220. IPD Sharing: YES. Countries: 2. Publications: 1.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov40/100

Symptom Management Implementation of Patient Reported Outcomes in Oncology

ClinicalTrials.gov study NCT03850912. IPD Sharing: YES. Countries: 1. Publications: 20.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov40/100

Self-Management Interventions for Chronic Pain Relief With Cancer Survivors

ClinicalTrials.gov study NCT03867760. IPD Sharing: YES. Countries: 1. Publications: 1.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov40/100

Active Preoperative Anemia Management in Patients Undergoing Cardiac Surgery

ClinicalTrials.gov study NCT02189889. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov40/100

IMPAACT 2002: Cognitive Behavioral Therapy and Medication Management for Treatment of Depression in US Youth With HIV

ClinicalTrials.gov study NCT02939131. IPD Sharing: YES. Countries: 1. Publications: 2.

controlledIPD-YESFeb 2026View details →

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