Scientific Data最新文献_第2页

Remote sensing for land cover mapping across Victoria, Australia - a machine learning application.

IF 5.8 2区综合性期刊

Scientific Data Pub Date : 2025-04-03 DOI: 10.1038/s41597-025-04900-5

Sabah Sabaghy, Mohammad Abuzar, Doug Crawford, Andy McAllister, Kathryn Sheffield

{"title":"Remote sensing for land cover mapping across Victoria, Australia - a machine learning application.","authors":"Sabah Sabaghy, Mohammad Abuzar, Doug Crawford, Andy McAllister, Kathryn Sheffield","doi":"10.1038/s41597-025-04900-5","DOIUrl":"10.1038/s41597-025-04900-5","url":null,"abstract":"This paper presents a detailed land cover mapping study for the state of Victoria in Australia conducted through a machine learning approach (random forest algorithm) using Sentinel-2 imagery. The study uses a hierarchical classification, based on the FAO's Land Cover Classification Scheme. This paper highlights the importance of spatial random sampling in assessing ground data, and details methods for land cover mapping, remote sensing analysis, calibration as well as validation. The land cover mapping procedure involves the use of a fine-tuned random forest classifier, and an overlaying mask generation technique to improve classification accuracy. The resulting 2021/22 land cover map is accessible through the Victorian Land Use Information System (VLUIS) and has undergone rigorous technical validation with an overall accuracy of 86%. This data set is publicly accessible and regularly released to provide valuable information for a variety of applications, including agricultural policy development, strategic planning, climate change modelling and environmental monitoring.","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"12 1","pages":"566"},"PeriodicalIF":5.8,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11968865/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143781029","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Potential tree cover under current and future climate scenarios.

IF 5.8 2区综合性期刊

Scientific Data Pub Date : 2025-04-03 DOI: 10.1038/s41597-025-04408-y

Caspar T J Roebroek, Luca Caporaso, Gregory Duveiller, Edouard L Davin, Sonia I Seneviratne, Alessandro Cescatti

{"title":"Potential tree cover under current and future climate scenarios.","authors":"Caspar T J Roebroek, Luca Caporaso, Gregory Duveiller, Edouard L Davin, Sonia I Seneviratne, Alessandro Cescatti","doi":"10.1038/s41597-025-04408-y","DOIUrl":"10.1038/s41597-025-04408-y","url":null,"abstract":"Forests play a key role in the global commitments to reach carbon neutrality in the coming decades. Global maps of potential tree cover at high spatial resolution for current and future climate scenarios are needed to assess the risk of future forest carbon loss and carbon storage potential through afforestation/reforestation projects. Here, we present data integrating satellite-based tree cover observations into a machine learning framework to estimate tree cover carrying capacity (percentage of tree coverage), which reflects the maximum potential tree cover, accounting for natural disturbances. Our model improves upon previous estimates by reducing prediction errors, better aligning with tree cover observations in intact areas, and lowering spatial variance in areas without topographical variation. However, uncertainties remain, particularly in regions where human activity has significantly altered landscapes. The tree cover carrying capacity provides an estimate of potential tree cover based on climatic and soil conditions. This serves as an initial step in identifying afforestation/reforestation opportunities but should be further assessed for land-use competition, ecological feasibility, and other limitations.","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"12 1","pages":"564"},"PeriodicalIF":5.8,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11968939/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143781026","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Genome assemblies of Nuttall's White-crowned sparrow (Zonotrichia leucophrys nuttalli) and Rufous-collared sparrow (Zonotrichia capensis).

IF 5.8 2区综合性期刊

Scientific Data Pub Date : 2025-04-03 DOI: 10.1038/s41597-025-04889-x

Zhou Wu, Katarzyna Miedzinska, Jesse S Krause, Paulina L Gonzalez-Gomez, Jonathan H Pérez, John C Wingfield, Simone L Meddle, Jacqueline Smith

{"title":"Genome assemblies of Nuttall's White-crowned sparrow (Zonotrichia leucophrys nuttalli) and Rufous-collared sparrow (Zonotrichia capensis).","authors":"Zhou Wu, Katarzyna Miedzinska, Jesse S Krause, Paulina L Gonzalez-Gomez, Jonathan H Pérez, John C Wingfield, Simone L Meddle, Jacqueline Smith","doi":"10.1038/s41597-025-04889-x","DOIUrl":"10.1038/s41597-025-04889-x","url":null,"abstract":"The Zonotrichia sparrows, belonging to the Passerellidae family, are widely studied for their vocalizations and genetic diversity. Here, we present two high-quality genome assemblies for Zonotrichia species; the northern hemisphere Nuttall's white-crowned sparrow (Zonotrichia leucophrys nuttalli, NWCS) and the southern hemisphere rufous-collared sparrow (Zonotrichia capensis chilensis, RUFS). These assemblies were assembled using PacBio long-reads and Omni-C chromatin conformation technology, integrated with RNA-sequencing data to provide genome annotations. The NWCS assembly comprises 1.12 Gb anchored to 30 chromosomes, while the RUFS assembly includes 1.11 Gb on 27 chromosomes. Both assemblies exhibit high completeness and contiguity, with 96.6% and 96.9% complete BUSCOs (Benchmarking Universal Single-Copy Orthologs) for NWCS and RUFS, respectively. These genome assemblies provide valuable resources for future research on genetic divergence, vocal learning, evolution and responses to climate change within the Zonotrichia genus.","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"12 1","pages":"567"},"PeriodicalIF":5.8,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11968903/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143781011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Open Access Dataset and Common Data Model for Pulse Oximeter Performance Data.

IF 5.8 2区综合性期刊

Scientific Data Pub Date : 2025-04-03 DOI: 10.1038/s41597-025-04870-8

Nicholas Fong, Michael S Lipnick, Ella Behnke, Yu Chou, Seif Elmankabadi, Lily Ortiz, Christopher S Almond, Isabella Auchus, Garrett W Burnett, Ronald Bisegerwa, Desireé R Conrad, Carolyn M Hendrickson, Shubhada Hooli, Robert Kopotic, Gregory Leeb, Daniel Martin, Eric D McCollum, Ellis P Monk, Kelvin L Moore, Leonid Shmuylovich, J Brady Scott, An-Kwok Ian Wong, Tianyue Zhou, Romain Pirracchio, Philip E Bickler, John Feiner, Tyler J Law

{"title":"Open Access Dataset and Common Data Model for Pulse Oximeter Performance Data.","authors":"Nicholas Fong, Michael S Lipnick, Ella Behnke, Yu Chou, Seif Elmankabadi, Lily Ortiz, Christopher S Almond, Isabella Auchus, Garrett W Burnett, Ronald Bisegerwa, Desireé R Conrad, Carolyn M Hendrickson, Shubhada Hooli, Robert Kopotic, Gregory Leeb, Daniel Martin, Eric D McCollum, Ellis P Monk, Kelvin L Moore, Leonid Shmuylovich, J Brady Scott, An-Kwok Ian Wong, Tianyue Zhou, Romain Pirracchio, Philip E Bickler, John Feiner, Tyler J Law","doi":"10.1038/s41597-025-04870-8","DOIUrl":"10.1038/s41597-025-04870-8","url":null,"abstract":"The OpenOximetry Dataset stores clinical and lab pulse oximetry data. It supports measurements of arterial oxygen saturation (SaO2) by arterial blood gas co-oximetry and pulse oximetry (SpO2), alongside processed and unprocessed photoplethysmography (PPG) data and other metadata. This includes skin color measurements, finger diameter, vital signs (e.g., arterial blood pressure, end-tidal carbon dioxide), and arterial blood gas parameters (e.g., acid-base balance, hemoglobin concentration). All data, from desaturation studies to clinical trials, are collected prospectively to ensure accuracy. A common data model and standardized protocols for consistent archival and interpretation ensure consistent data archival and interpretation. The dataset aims to facilitate research on pulse oximeter performance across diverse human characteristics, addressing performance issues and promoting accurate pulse oximeters. The initial release includes controlled lab desaturation studies (CLDS), with ongoing updates planned as further data from clinical trials and CLDS become available.","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"12 1","pages":"570"},"PeriodicalIF":5.8,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11968964/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143781024","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Chromosome-level genome assembly of the traditional medicinal plant Lindera aggregata.

IF 5.8 2区综合性期刊

Scientific Data Pub Date : 2025-04-03 DOI: 10.1038/s41597-025-04891-3

Yujie Shi, Zhen Chen, Junxia Ge, Jingyong Jiang, Qianfan Li, Yiluo Lin, Weifu Yu, Wei Zeng

{"title":"Chromosome-level genome assembly of the traditional medicinal plant Lindera aggregata.","authors":"Yujie Shi, Zhen Chen, Junxia Ge, Jingyong Jiang, Qianfan Li, Yiluo Lin, Weifu Yu, Wei Zeng","doi":"10.1038/s41597-025-04891-3","DOIUrl":"10.1038/s41597-025-04891-3","url":null,"abstract":"Lindera aggregata is a renowned medicinal plant in China, particularly the variety from Tiantai, Zhejiang Province, which is esteemed for its superior medicinal properties. Beyond its medicinal value, it holds significant economic potential and phylogenetic significance. Utilizing a range of sequencing techniques, we have successfully assembled and annotated a high-quality chromosome-level genome of L. aggregata. The assembled genome spans approximately 1.59 Gb, with a scaffold N50 length of 132.62 Mb. Approximately 93.07% of the assembled sequences have been anchored to 12 pseudo-chromosomes, and 70.02% of the genome consists of repetitive sequences. According to the annotations, a total of 33,283 genes are identified, of which 96.95% can predict function. This high-quality chromosome-level assembly and annotation will greatly assist in the development and utilization of L. aggregata's valuable resources, and also provide a crucial molecular foundation for investigating the evolutionary relationships within the Lauraceae family and the mechanisms behind the synthesis of active ingredients in L. aggregata.","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"12 1","pages":"565"},"PeriodicalIF":5.8,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11969015/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143781007","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fast Single-Particle Tracking of Membrane Proteins Combined with Super-Resolution Imaging of Actin Nanodomains. 膜蛋白的快速单颗粒跟踪与肌动蛋白纳米域的超分辨率成像相结合。

IF 5.8 2区综合性期刊

Scientific Data Pub Date : 2025-04-03 DOI: 10.1038/s41597-025-04782-7

Hanieh Mazloom-Farsibaf, William K Kanagy, Diane S Lidke, Keith A Lidke

{"title":"Fast Single-Particle Tracking of Membrane Proteins Combined with Super-Resolution Imaging of Actin Nanodomains.","authors":"Hanieh Mazloom-Farsibaf, William K Kanagy, Diane S Lidke, Keith A Lidke","doi":"10.1038/s41597-025-04782-7","DOIUrl":"10.1038/s41597-025-04782-7","url":null,"abstract":"Membrane protein dynamics regulates cell functions by initiating downstream signaling cascades. The cell membrane is compartmentalized into nanodomains by actin structures, restricting lateral protein diffusion. Single-particle tracking offers high spatiotemporal resolution for studying protein dynamics in living cells. However, directly observing actin filaments that form barriers of nanodomains for fast protein diffusion is challenging due to their size being below the diffraction limit. Single-molecule localization microscopy resolves these structures but requires imaging in fixed cells. We integrated fast single-particle tracking with single-molecule localization microscopy to generate a dataset of membrane protein dynamics and actin filaments within the same cells at the nanoscales. Optimizing the fixation protocol enabled transition from live-cell tracking to fixed-cell super-resolution imaging. Data for the high-affinity IgE receptor, a transmembrane protein, and the GPI-anchored protein, an outer leaflet protein, was collected at 490 Hz. After fixation, actin filaments were imaged using dSTORM. The treatment of actin structures with phalloidin and PMA generated a dataset of distinct actin architectures for studying their potential influence on membrane protein dynamics.","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"12 1","pages":"562"},"PeriodicalIF":5.8,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11968936/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143781010","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

High-resolution fundus images for ophthalmomics and early cardiovascular disease prediction.

IF 5.8 2区综合性期刊

Scientific Data Pub Date : 2025-04-03 DOI: 10.1038/s41597-025-04930-z

Na Guo, Wanjin Fu, Heng Li, Yunhao Zhang, Tiantian Li, Wei Zhang, Xing Zhong, Tianrong Pan, Fuchun Sun, Ajuan Gong

{"title":"High-resolution fundus images for ophthalmomics and early cardiovascular disease prediction.","authors":"Na Guo, Wanjin Fu, Heng Li, Yunhao Zhang, Tiantian Li, Wei Zhang, Xing Zhong, Tianrong Pan, Fuchun Sun, Ajuan Gong","doi":"10.1038/s41597-025-04930-z","DOIUrl":"10.1038/s41597-025-04930-z","url":null,"abstract":"Cardiovascular diseases (CVDs) remain the foremost cause of mortality globally, emphasizing the imperative for early detection to improve patient outcomes and mitigate healthcare burdens. Carotid intima-media thickness (CIMT) serves as a well-established predictive marker for atherosclerosis and cardiovascular risk assessment. Fundus imaging offers a non-invasive modality to investigate microvascular pathology and systemic vascular health. However, the paucity of high-quality, publicly available datasets linking fundus images with CIMT measurements has hindered the progression of AI-driven predictive models for CVDs. Addressing this gap, we introduce the China-Fundus-CIMT dataset, comprising bilateral high-resolution fundus images, CIMT measurements, and clinical data-including age and gender-from 2,903 patients. Our experiments with multimodal models reveal that integrating clinical information substantially enhances predictive performance, yielding AUC-ROC increases of 3.22% and 7.83% on the validation and test sets, respectively, compared to unimodal models. This dataset constitutes a vital resource for developing and validating AI-based early screening models for CVDs using fundus images and is now accessible to the research community.","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"12 1","pages":"568"},"PeriodicalIF":5.8,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11968951/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143781013","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Chromosome-scale genome assembly of Zoysia japonica uncovers cold tolerance candidate genes.

IF 5.8 2区综合性期刊

Scientific Data Pub Date : 2025-04-03 DOI: 10.1038/s41597-025-04827-x

Liangying Shen, Zewen Qi, Xiuru Dai, Ye Ai, Jiabao Chen, Yuehui Chao, Hang He, Liebao Han, Lixin Xu

{"title":"Chromosome-scale genome assembly of Zoysia japonica uncovers cold tolerance candidate genes.","authors":"Liangying Shen, Zewen Qi, Xiuru Dai, Ye Ai, Jiabao Chen, Yuehui Chao, Hang He, Liebao Han, Lixin Xu","doi":"10.1038/s41597-025-04827-x","DOIUrl":"10.1038/s41597-025-04827-x","url":null,"abstract":"Zoysiagrass stands out as a crucial native turfgrass due to its exceptional abiotic stress tolerance, extensive adaptability, and high ornamental value. In this study, we generated a high-quality chromosome-level genome assembly of Compadre (COM) zoysiagrass, leveraging PacBio SMRT sequencing and Hi-C scaffolding technologies. The resulting genome assembly (312.42 Mb) is anchored on 20 chromosomes, with a Scaffold N50 of 18.72 Mb. In total, 49,074 genes and 306,768 repeat sequences were annotated in the assembled genome. The first chromosome-scale genome of Zoysia japonica 'Compadre' provides a critical genetic resource for cold-tolerant turfgrass breeding through identifying stress-responsive candidate genes. Additionally, we have successfully established a cell nucleus extraction and library construction protocol tailored for zoysiagrass ATAC-seq technology, and a total of 80 low temperature tolerance candidate genes were preliminarily identified via ATAC-seq and RNA-seq profiling, thereby initiating the exploration of turfgrass epigenomics.","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"12 1","pages":"571"},"PeriodicalIF":5.8,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11968985/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143781008","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Multisensor Dataset of South Asian Post-Graduate Students Working on Mental Rotation Tasks.

IF 5.8 2区综合性期刊

Scientific Data Pub Date : 2025-04-03 DOI: 10.1038/s41597-025-04865-5

Ashwin T S, Suraj Ranganath, Kabyashree Khanikar, Karishma Khan, Ramkumar Rajendran, Ritayan Mitra

{"title":"A Multisensor Dataset of South Asian Post-Graduate Students Working on Mental Rotation Tasks.","authors":"Ashwin T S, Suraj Ranganath, Kabyashree Khanikar, Karishma Khan, Ramkumar Rajendran, Ritayan Mitra","doi":"10.1038/s41597-025-04865-5","DOIUrl":"10.1038/s41597-025-04865-5","url":null,"abstract":"Spatial thinking, in general, and mental rotation, in particular, have seen sustained research attention due to such abilities playing a critical role in STEM (science, technology, engineering and mathematics) learning. The recent development of sensor-based approaches to identify, understand, and measure cognition and affect opens up new possibilities to study such topics. We collected galvanic skin response, electroencephalography, screen recording, facial expressions, manual emotion logging, task performance logs (including response times, correctness, and question difficulty), gaze, and self-reports of 38 participants as they solved mental rotation tasks under various conditions, namely, (i) with no time restriction and no feedback, (ii) with no time restriction and with feedback and (iii) with time restriction and with no feedback, respectively. The availability of such a dataset will help researchers in the spatial thinking community to study interesting questions related to strategy selection, flexibility, affective response, and group differences in mental rotation tasks. Furthermore, the learning analytics community could gain valuable insights into how providing feedback might change learning and engagement during such tasks.","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"12 1","pages":"563"},"PeriodicalIF":5.8,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11968990/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143781006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

StoichLife: A Global Dataset of Plant and Animal Elemental Content.

IF 5.8 2区综合性期刊

Scientific Data Pub Date : 2025-04-03 DOI: 10.1038/s41597-025-04852-w

Angélica L González, Julian Merder, Karl Andraczek, Ulrich Brose, Michał Filipiak, W Stanley Harpole, Helmut Hillebrand, Michelle C Jackson, Malte Jochum, Shawn J Leroux, Mark P Nessel, Renske E Onstein, Rachel Paseka, George L W Perry, Amanda Rugenski, Judith Sitters, Erik Sperfeld, Maren Striebel, Eugenia Zandona, Jean-Christophe Aymes, Alice Blanckaert, Sarah L Bluhm, Hideyuki Doi, Nico Eisenhauer, Vinicius F Farjalla, James Hood, Pavel Kratina, Jacques Labonne, Catherine E Lovelock, Eric K Moody, Attila Mozsár, Liam Nash, Melanie M Pollierer, Anton Potapov, Gustavo Q Romero, Jean-Marc Roussel, Stefan Scheu, Nicole Scheunemann, Julia Seeber, Michael Steinwandter, Winda Ika Susanti, Alexei Tiunov, Olivier Dézerald

{"title":"StoichLife: A Global Dataset of Plant and Animal Elemental Content.","authors":"Angélica L González, Julian Merder, Karl Andraczek, Ulrich Brose, Michał Filipiak, W Stanley Harpole, Helmut Hillebrand, Michelle C Jackson, Malte Jochum, Shawn J Leroux, Mark P Nessel, Renske E Onstein, Rachel Paseka, George L W Perry, Amanda Rugenski, Judith Sitters, Erik Sperfeld, Maren Striebel, Eugenia Zandona, Jean-Christophe Aymes, Alice Blanckaert, Sarah L Bluhm, Hideyuki Doi, Nico Eisenhauer, Vinicius F Farjalla, James Hood, Pavel Kratina, Jacques Labonne, Catherine E Lovelock, Eric K Moody, Attila Mozsár, Liam Nash, Melanie M Pollierer, Anton Potapov, Gustavo Q Romero, Jean-Marc Roussel, Stefan Scheu, Nicole Scheunemann, Julia Seeber, Michael Steinwandter, Winda Ika Susanti, Alexei Tiunov, Olivier Dézerald","doi":"10.1038/s41597-025-04852-w","DOIUrl":"10.1038/s41597-025-04852-w","url":null,"abstract":"The elemental content of life is a key trait shaping ecology and evolution, yet organismal stoichiometry has largely been studied on a case-by-case basis. This limitation has hindered our ability to identify broad patterns and mechanisms across taxa and ecosystems. To address this, we present StoichLife, a global dataset of 28,049 records from 5,876 species spanning terrestrial, freshwater, and marine realms. Compiled from published and unpublished sources, StoichLife documents elemental content and stoichiometric ratios (%C, %N, %P, C:N, C:P, and N:P) for individual plants and animals. The dataset is standardized and, where available, includes information on taxonomy, habitat, body mass (for animals), geography, and environmental conditions such as temperature, solar radiation, and nutrient availability. By providing an unprecedented breadth of organismal stoichiometry, StoichLife enables the exploration of global patterns, ecological and evolutionary drivers, and context-dependent variations. This resource advances our understanding of the chemical makeup of life and its responses to environmental change, supporting progress in ecological stoichiometry and related fields.","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"12 1","pages":"569"},"PeriodicalIF":5.8,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11968889/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143781034","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0