Data in Brief最新文献

{"title":"RNA-seq data of pig placenta and endometrium during late gestation.","authors":"Sarah Maman-Haddad, Laure Gress, Amandine Suin, Nathalie Vialaneix, Agnès Bonnet","doi":"10.1016/j.dib.2024.111178","DOIUrl":"10.1016/j.dib.2024.111178","url":null,"abstract":"<p><p>Limiting the level of piglet losses before weaning is a growing demand from producers and society to improve the welfare and health of sows and piglets. In particular, perinatal mortality, which can be defined as the complete development allowing survival at birth, is mostly due to reduced piglet maturity that occurs at the end of gestation. Fetal growth and maturation depend on a fine balance between the nutrient requirements for optimal fetal growth and the maternal nutrient requirements. This balance occurs at the feto-maternal interface, defined as the interaction between the mother (uterus/endometrium) and the fetus (placenta). Thus, the CO-LOCATION project (ANR20-CE20-0020-01) studies the feto-maternal system in relation to fetal maturation and piglet survival at birth. To this end, we documented the transcriptome of endometrial and placental tissues in late gestation from pure and reciprocal crossbred fetuses using two breeds with extreme fetal maturity: Large White and Meishan, showing substantial and low neonatal mortality, respectively. 224 endometrial and 224 placental samples were selected from the PORCINET tissue collection (ANR-09-GENM-005) together with sow breed, day of gestation, sex, fetal genotypes and maturity. RNA was processed for RNA-seq analysis using NovaSeq6000. with an average of 107 and 105 million reads per endometrial and placental sample, respectively. Sequences were processed using the Nextflow nf-core/rnaseq pipeline for transcript and gene quantification. The average mapping rate was 91 % and 86 % for endometrial and placental samples, respectively. Then, the TAGADA pipeline was used to reconstruct RNA-seq de novo, predict lncRNA and quantify them. The data generated from this analysis provides a complete transcriptional profile of the feto-maternal interface during late gestation. These data sets are the starting point for further analyses, including differential expression analysis, enrichment analysis and investigation of the feto-maternal dialog.</p>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"57 ","pages":"111178"},"PeriodicalIF":1.0,"publicationDate":"2024-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11665657/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142880669","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dataset of some added-lignin thermoformed pulps.","authors":"Jost Ruwoldt","doi":"10.1016/j.dib.2024.111176","DOIUrl":"10.1016/j.dib.2024.111176","url":null,"abstract":"<p><p>This data article summarizes the material properties of some added-lignin thermoformed pulps (ALTPs). This type of molded pulp is particularly suited for replacing plastics in environments, where moisture is encountered, as the lignin reduces the transport and adsorption of water. The dataset was measured on wet formed substrates with either softwood chemi-thermomechanical pulp (CTMP) or northern bleached softwood Kraft pulp (NBSK). To the basis weight of 500 g/m² pulp fibers (6 g pulp per 15 cm by 8 cm substrate area) were added 0.8 g of lignin, constituting a loading of 13.33 % added lignin per dry fibers. Right after forming, the sheets were pressed at 20 bar and room temperature between blotting paper to remove excess water, air dried overnight, and subsequently thermopressed at 175 °C and 200 bar. The resulting materials were measured and weighed, cut into test stripes with 15 mm width, and tensile tested. The absorption of water (water uptake) was measured after immersing the test pieces (15 mm by 15 mm) in distilled water for 24 h. The data shows slight increases in density after lignin addition and, on average, a reduction in water absorption. In particular, adding acetylated lignin significantly lowered the water uptake, as compared to the regular soda or Kraft lignin. The tensile strength and stiffness of CTMP was the same or lower after lignin addition, whereas NBSK showed increases in both stiffness and strength.</p>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"57 ","pages":"111176"},"PeriodicalIF":1.0,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11664009/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142881776","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dataset of cone opponent mechanisms and spectral tuning in non-primate vertebrates.","authors":"Carlay L Teed, Samuel Hartzler, Esteban Fernández-Juricic","doi":"10.1016/j.dib.2024.111166","DOIUrl":"10.1016/j.dib.2024.111166","url":null,"abstract":"<p><p>Cone and spectral opponency are fundamental to colour processing in many species and are well studied in primates. The data required to make interspecific comparisons of the neural mechanisms associated with colour processing is spread across a broad body of literature reaching back to the 1950's across four retinal cell types and multiple brain regions. We aimed to produce a comprehensive dataset of all known cone opponent cells in non-primate vertebrates in image forming visual pathways. We completed a systematic literature search of two databases, Web of Science and Scopus, following PRISMA guidelines. From the data collected, we produced three datasets. One dataset contains cone opponency data that indicates which photoreceptors drive cell light responses. The second dataset contains spectral opponency data that represents the cell electrical responses to different wavelengths of light. Additionally, we developed a third database of photoreceptor data for the species for which cone or spectral opponency was reported to supplement the first two. These datasets will provide a synthesis of the data in the field of colour processing, can be used for interspecific and intraspecific meta-analyses, and can provide a starting point for understanding neural mechanisms behind wavelength comparisons in non-primate vertebrates.</p>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"57 ","pages":"111166"},"PeriodicalIF":1.0,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11664137/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142881769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dataset for gastrointestinal tract segmentation on serial MRIs for abdominal tumor radiotherapy.","authors":"Sangjune L Lee, Poonam Yadav, Yin Li, Jason J Meudt, Jessica Strang, Dustin Hebel, Alyx Alfson, Stephanie J Olson, Tera R Kruser, Jennifer B Smilowitz, Kailee Borchert, Brianne Loritz, Laila Gharzai, Shervin Karimpour, John Bayouth, Michael F Bassetti","doi":"10.1016/j.dib.2024.111159","DOIUrl":"10.1016/j.dib.2024.111159","url":null,"abstract":"<p><strong>Purpose: </strong>Integrated MRI and linear accelerator systems (MR-Linacs) provide superior soft tissue contrast, and the capability of adapting radiotherapy plans to changes in daily anatomy. In this dataset, serial MRIs of the abdomen of patients undergoing radiotherapy were collected and the luminal gastro-intestinal tract was segmented to support an online segmentation algorithm competition. This dataset may be further utilized by radiation oncologists, medical physicists, and data scientists to further improve auto segmentation algorithms.</p><p><strong>Acquisition and validation of methods: </strong>Serial 0.35T MRIs from patients who were treated on an MR-Linac for tumors located in the abdomen were collected. The stomach, small intestine and large intestine were manually segmented on all MRIs by a team of annotators under the supervision of a board-certified radiation oncologist. Annotator segmentations were validated on 4 representative abdominal MRIs by comparing to the radiation oncologist's contours using 3D Hausdorff distance and 3D Dice coefficient metrics.</p><p><strong>Data format and usage notes: </strong>The dataset includes 467 de-identified scans and their contours from 107 patients. Each patient underwent 1-5 MRI scans of the abdomen. Most of the scans consisted of 144 axial slices with a pixel resolution of 1.5 × 1.5 × 3 mm, leading to 67,248 total slices in the dataset. Images in DICOM format were converted into Portable Graphics Format (PNG) files. Each Portable Graphics Format (PNG) image file stored a slice of the scan, with pixels recorded in 16 bits to cover the full range of intensity values. DICOM-RT segmentations were converted into Comma-Separated Values (CSV) format. Data including images and the annotations is publicly available at https://www.kaggle.com/ds/3577354.</p><p><strong>Potential applications: </strong>While manual segmentations are subject to bias and inter-observer variability, the dataset has been used for the UW-Madison GI Tract Image Segmentation Challenge hosted by Kaggle and may be used for ongoing segmentation algorithm development and potentially for dose accumulation algorithms.</p>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"57 ","pages":"111159"},"PeriodicalIF":1.0,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11663993/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142881750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Collected data on bending, vibration, and push-out tests of shallow steel-timber composite beams-Nordic system.","authors":"Aku Aspila, Markku Heinisuo, Virpi Leivo, Mikko Malaska, Kristo Mela, Sami Pajunen, Mika Vuorela","doi":"10.1016/j.dib.2024.111172","DOIUrl":"https://doi.org/10.1016/j.dib.2024.111172","url":null,"abstract":"<p><p>In a slim-floor structural system, beams and slabs are placed at the same level, reducing the overall floor height and material usage in vertical structures, thereby improving economic efficiency. The use of slim-floor structures is common practice in Finnish construction where these structures are typically constructed using hollow-concrete slabs and welded steel box beams. However, in Finland, only a few buildings utilise cross-laminated timber (CLT) slabs in slim-floor structures, and none have incorporated the composite action between CLT and steel beams. This paper presents the laboratory test results of combining CLT slabs and asymmetric welded box beams (WQ-beams) to further assess their potential in optimising structural performance. The structural behaviour of the test construction was evaluated for serviceability and ultimate limit states. The testing involved six full-scale specimens to observe structural responses by measuring total jack forces, deflections, strains, and slip between timber and steel. Vibration tests were conducted on four specimens, capturing deflection and acceleration during heel-drop and walking tests. Additionally, push-out tests were performed to determine connection properties of the wood screws by measuring jack force and displacements. The same skilled faculty team meticulously carried out all tests in the Structural Behaviour Laboratory at Tampere University in Finland. The comprehensive datasets are presented in Excel sheets along with illustrative graphs. Furthermore, the report contains images taken during and after the tests. The provided dataset can serve construction companies, product developers, and researchers aiming to deepen their understanding of the structural behaviour of steel-timber slim-floor composite structures. Additionally, it can be utilised as a reliable reference to validate finite element models (FEM) and analytical calculation models, and to aid in the development of design guides or standards.</p>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"57 ","pages":"111172"},"PeriodicalIF":1.0,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11683325/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142906665","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dataset on hydrogeochemical characteristics of spring and surface waters in the complex karst catchment area of Southern Dalmatia (Croatia) and Western Herzegovina (Bosnia and Herzegovina).","authors":"Marina Filipović, Josip Terzić, Jasmina Lukač Reberski, Igor Vlahović","doi":"10.1016/j.dib.2024.111173","DOIUrl":"10.1016/j.dib.2024.111173","url":null,"abstract":"<p><p>Large and complex karst catchments, like the one in Southern Dalmatia (Croatia) and Western Herzegovina (Bosnia and Herzegovina), are fragile environments requiring careful protection and sustainable water resources management. Understanding the processes that influence karst aquifer water chemistry is essential for the effective protection of water quality and quantity, ensuring sustainable resource availability and minimizing vulnerability to contamination. A hydrogeochemical dataset comprising over 30 groundwater (springs) and surface water samples, was collected in this cross-border catchment area from September 2013 to September 2020, accounting for seasonal variations. Parameters such as Ca²⁺, Mg²⁺, Na⁺, K⁺, Cl^-, NO₃ ^- and SO₄ ²⁺ were analysed using atomic absorption, spectrophotometry and ion chromatography at the Croatian Geological Survey's Hydrochemical Laboratory. Alkalinity was measured through volumetric titration and in-situ pH, electrical conductivity (EC), and temperature (T) were measured using a multi-parameter probe. Additionally, stable sulphur isotope 34 (δ³⁴S) analysis was conducted on ten samples collected during two hydrological extremes (April and October 2019) using an IRMS analyser at the Jožef Stefan Institute in Slovenia. These data provides a baseline assessment of the hydrogeochemistry of the area, facilitating research on isotope hydrology, particularly δ³⁴S studies. It could also be used in implementing measures to protect and safeguard groundwater, assess its vulnerability to contamination, and improve existing catchment recharge zones.</p>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"57 ","pages":"111173"},"PeriodicalIF":1.0,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11665773/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142881779","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparative data on different preparation methods of Ru/CeO₂ catalysts for catalytic oxidation of chlorine-containing volatile organic compounds.","authors":"Pengpeng Cai, Haitao Li, Haibo Zou, Yunkun Pan, Yaoqin Han, Caihe Tang, Yuting Yang, Linghan Xiao, Wei Zheng, Meng Zhou, Jin Li, Mingchun Wu, Daqing Huang, Bing Han","doi":"10.1016/j.dib.2024.111175","DOIUrl":"10.1016/j.dib.2024.111175","url":null,"abstract":"<p><p>Under industrial conditions, efficient catalytic oxidation of Chlorinated volatile organic compounds is an important challenge, not only because of the poisonous effect of Chlorinated volatile organic compounds on catalysts, but also because of their high reaction temperature, which has an adverse impact on industrialization. In a recent article (<i>The efficient and stable catalytic combustion of chlorobenzene utilizing a cordierite honeycomb ceramic</i> Ru/CeO₂ <i>catalyst: Transitioning from laboratory innovation to practical application</i>) [1], we developed a strategy for preparing a simple and efficient monolithic catalyst for the catalytic combustion of chlorobenzene. Ru/CeO₂ was loaded on the industrial support cordierite by a Sol-gel method. Characterization was performed by techniques such as X-ray diffraction (XRD), scanning electron microscopy (SEM), and Brunner-Emmet-Teller(BET) measurements surface area analysis. The Sol-gel method demonstrated superior performance, yielding catalysts with better dispersion, larger surface areas, and consequently, higher catalytic oxidation activity for chlorobenzene, compared to the other two methods. Catalytic tests revealed that the Ru/CeO₂ catalyst prepared by the Sol-gel method maintained a 99 % conversion rate of chlorobenzene at 500 °C over 80 h, showcasing remarkable stability and resistance to deactivation. This efficacy is attributed to the enhanced dispersion of Ru and the effective interaction between Ru and CeO₂, facilitated by the Sol-gel synthesis process. This method is simple and easy to prepare the catalyst and has broad industrial prospects. The data set is supplemented with XRD, XPS, SEM and SEM-EDS images of the material, providing useful supplementary data; activity evaluation data for dichloromethane, 1,2-chloroethane and chloromethane were measured.</p>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"57 ","pages":"111175"},"PeriodicalIF":1.0,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11664146/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142881735","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spatial datasets for benchmarking machine learning-based landslide susceptibility models.","authors":"Guruh Samodra, Mukhamad Ngainul Malawani, Indranova Suhendro, Djati Mardiatno","doi":"10.1016/j.dib.2024.111155","DOIUrl":"10.1016/j.dib.2024.111155","url":null,"abstract":"<p><p>This article presents a comprehensive dataset developed for benchmarking machine learning-based landslide susceptibility models. The dataset includes landslide polygons delineated through manual interpretation of high-resolution satellite imagery and controlling factors data extracted from topographic maps and Indonesia's national digital elevation model (DEMNAS). Landslide events were mapped by comparing pre- and post-event satellite imagery from Tropical Cyclone (TC) Cempaka, which occurred from 27 to 29 November 2017, and verified through field surveys. Pre-event landslides were mapped using Google Earth imagery, while post-event landslides were mapped using Pleiades Pan-sharpened Multispectral Natural Color Band imagery sourced from the European Space Agency (ESA) via Indonesia's National Institute of Aeronautics and Space (LAPAN). The landslide polygons identify areas with confirmed landslide activity, while the controlling factors dataset includes topographic attributes such as slope, aspect, elevation, profile curvature, plan curvature, terrain wetness index, stream power index, land use, distance to road, and distance to river. The dataset is publicly available and aims to promote transparency, reproducibility, and collaboration in landslide research. It offers significant reuse potential for researchers across diverse domains and regions, enabling comparative studies, model benchmarking, and validation efforts. This dataset provides a valuable resource for advancing machine learning applications in landslide susceptibility modeling and supporting a wide range of geospatial analyses.</p>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"57 ","pages":"111155"},"PeriodicalIF":1.0,"publicationDate":"2024-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11648094/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142834367","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"FabricSpotDefect: An annotated dataset for identifying spot defects in different fabric types.","authors":"Farzana Islam, Sumaya, Md Fahad Monir, Ashraful Islam","doi":"10.1016/j.dib.2024.111165","DOIUrl":"10.1016/j.dib.2024.111165","url":null,"abstract":"<p><p>The FabricSpotDefect dataset is, to the best of our knowledge, the first dataset specifically designed to accurately challenge computer vision in detecting fabric spots. There are a total of 1014 raw images and manually annotated 3288 different categories of spots. This dataset expands to 2300 augmented images after applying six categories of augmentation techniques like flipping, rotating, shearing, saturation adjustment, brightness adjustment, and noise addition. We manually conducted annotations on original images to provide real-world essence rather than augmented images. Two versions are considered for augmented images, one is YOLOv8 resulting in 7641 annotations and another one is COCO format resulting in 7635 annotations. To reduce overfitting and to improve model robustness augmentation technique is required, which eventually increases data diversity. This dataset consists of various types of fabrics such as cotton, linen, silk, denim, patterned textiles, jacquard fabrics, and so on, and spots like stains, discolorations, oil marks, rust, blood marks, and so on. These kinds of spots are quite difficult to detect manually or in other traditional methods. The images were snapped in home lights, using basic everyday clothes, and in normal conditions, making this FabricSpotDefect dataset established in real-world applications. The dataset is organized in a way that makes it easy to use for training, testing, and validating machine learning (ML) models and can be reused at any time since this dataset is real and authentic. Researchers and Developers are free to use this prebuilt dataset to work with artificial intelligence (AI) tools that enhance quality control in the textile industry, such as checking the quality of fabrics used in clothing or medical textiles such as surgical gloves, masks, gauze and aprons and so on. The data is annotated with bounding boxes and polygons to precisely mark spot defects. This dataset is available in Roboflow with various formats like COCO and YOLOv8, which work with different ML frameworks. We strongly claim that our dataset is unique because it covers a wide range of fabrics and challenging spot defects often found in patterned and colorful prints, where spotting defects is especially difficult due to the complexity of the printed fabrics.</p>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"57 ","pages":"111165"},"PeriodicalIF":1.0,"publicationDate":"2024-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11648198/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142834353","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Food waste end-of-life management for the United States: Parameterized life cycle inventory datasets.","authors":"Kyle McGaughy, Ben Morelli, Abby Martell, James Santa Ana, Wesley W Ingwersen","doi":"10.1016/j.dib.2024.111174","DOIUrl":"10.1016/j.dib.2024.111174","url":null,"abstract":"<p><p>A life cycle inventory (LCI) dataset for food waste management was developed using secondary data from scientific literature and government reports. EPA reports on food waste management were used as the basis for collecting literature to review. Unit process parameters from the reviewed literature are compiled and combined with engineering calculations to generate LCI for food management pathways. Both the literature values and engineering calculations are reviewed and documented with notes indicating any potential limitations in the dataset. The Excel-based inventory model includes pathways for anaerobic digestion, composting - windrow and aerated static pile, landfilling, and incineration. The model includes default parameter value selections, but the inventory may also be generated using user-specified parameter values. The model includes site-specific unit process models that do not have default parameter values pre-selected. Users can specify parameter values within these unit processes to generate LCI data for the food waste management pathways in line with their project scope. Site-specific unit processes include options such as biogas and landfill gas utilization and treatment of compost and digestate. This dataset and model can be used to generate LCI for evaluating food waste management in a comprehensive life cycle assessment study.</p>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"57 ","pages":"111174"},"PeriodicalIF":1.0,"publicationDate":"2024-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11664002/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142881724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}