Scientific Data最新文献_第4页

FAIR-Compliant Database for Soil Erosion Studies: The Marganai Forest Experiment.

IF 5.8 2区综合性期刊

Scientific Data Pub Date : 2025-04-02 DOI: 10.1038/s41597-025-04797-0

Filippo Giadrossich, Ilenia Murgia, Enrico Guastini, Antonio Ganga, Simone Di Prima, Laura Chessa, Raffaella Lovreglio, Roberto Scotti

{"title":"FAIR-Compliant Database for Soil Erosion Studies: The Marganai Forest Experiment.","authors":"Filippo Giadrossich, Ilenia Murgia, Enrico Guastini, Antonio Ganga, Simone Di Prima, Laura Chessa, Raffaella Lovreglio, Roberto Scotti","doi":"10.1038/s41597-025-04797-0","DOIUrl":"10.1038/s41597-025-04797-0","url":null,"abstract":"The '2018 Marganai Forest Soil Erosion Experiment Database' is a comprehensive collection of measures taken during scientific experiment trials designed to investigate the effects of forest canopy coverage on soil erosion under intense artificial rainfall, four years after coppicing. The investigation involved the establishment of eight paired plots with and without forest canopy coverage, subjected to artificial rainfall simulation aimed to measure the amount of sediment transported by runoff. The work represents a valuable resource for researchers interested in understanding the complex implications of forest management practices on soil erosion. The paper, produced using Quarto in a Gitlab-based RStudio project, is an example of 'reproducible research' documenting that the database provides detailed information on the experimental setup as well as on the range of different measurements that have been collected. The database, produced using NFS-DataDocumentationProcedure, is stored in an SQLite file, extensively exploiting the relational properties of the engine, enhancing data accessibility, interoperability and reusability.","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"12 1","pages":"561"},"PeriodicalIF":5.8,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11965339/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143773304","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

Ultrasonic pulse-echo dataset from numerical modelling for oil and gas well integrity investigations.

IF 5.8 2区综合性期刊

Scientific Data Pub Date : 2025-04-01 DOI: 10.1038/s41597-025-04851-x

Anja Diez, Erlend Magnus Viggen, Tonni Franke Johansen

{"title":"Ultrasonic pulse-echo dataset from numerical modelling for oil and gas well integrity investigations.","authors":"Anja Diez, Erlend Magnus Viggen, Tonni Franke Johansen","doi":"10.1038/s41597-025-04851-x","DOIUrl":"10.1038/s41597-025-04851-x","url":null,"abstract":"The ultrasonic pulse-echo (PE) measurement is a crucial measurement technique to determine the integrity of oil and gas wells. Oil companies use various analysis techniques and corrections to derive the pipe thickness and impedance of the material behind the pipe from PE measurements that are carried out inside the pipe. While some field measurements are publicly available, they have no corresponding ground truth. We therefore simulated a dataset of PE measurements with ground truth. The dataset was generated using axisymmetric models and 3D models in COMSOL Multiphysics. The base geometry was based on common parameters from the field: oil-based mud on the inside of a 9.625 in pipe and cement on the outside of the pipe. From this base geometry, variations in the model parameters were introduced, for example, plate/pipe wall thickness, different materials on both sides of the wall, different pipe diameter, different annulus thicknesses, eccentering. The generated dataset allows detailed investigations of existing PE analysis algorithms, comparison of those and development of new PE analysis techniques.","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"12 1","pages":"544"},"PeriodicalIF":5.8,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11962138/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143764907","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 30-meter resolution global land productivity dynamics dataset from 2013 to 2022.

IF 5.8 2区综合性期刊

Scientific Data Pub Date : 2025-04-01 DOI: 10.1038/s41597-025-04883-3

Xiaosong Li, Tong Shen, Cesar Luis Garcia, Ingrid Teich, Yang Chen, Jin Chen, Amos Tiereyangn Kabo-Bah, Ziyu Yang, Xiaoxia Jia, Qi Lu, Mandakh Nyamtseren

{"title":"A 30-meter resolution global land productivity dynamics dataset from 2013 to 2022.","authors":"Xiaosong Li, Tong Shen, Cesar Luis Garcia, Ingrid Teich, Yang Chen, Jin Chen, Amos Tiereyangn Kabo-Bah, Ziyu Yang, Xiaoxia Jia, Qi Lu, Mandakh Nyamtseren","doi":"10.1038/s41597-025-04883-3","DOIUrl":"10.1038/s41597-025-04883-3","url":null,"abstract":"Land degradation is one of the most severe environmental challenges globally. To address its adverse impacts, the United Nations endorsed the Land Degradation Neutrality (SDG 15.3) within the Sustainable Development Goals in 2015. Trends in land productivity is a key sub-indicator for reporting the progress toward SDG 15.3. Currently, the highest spatial resolution of global land productivity dynamics (LPD) products is 250-meter, which seriously hamper the SDG 15.3 reporting and intervention at the fine scale. Generating higher spatial resolution product faces significant challenges, including massive data processing, image cloud pollution, incompatible spatiotemporal resolution. This study, leveraging Google Earth Engine platform and utilizing Landsat-8 and MODIS imagery, employed the Gap-filling and Savitzky-Golay filtering algorithm and advanced spatiotemporal filtering method to obtain a high-quality 30-meter NDVI dataset, then the global 30-meter LPD product from 2013 to 2022 was generated by using the FAO-WOCAT methodology and compared against multiple datasets. This is the first global scale 30-meter LPD dataset, which provides essential data support for SDG 15.3 monitoring and reporting globally.","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"12 1","pages":"555"},"PeriodicalIF":5.8,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11961751/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143765009","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 chromosome-level genome assembly and annotation of the Pseudorasbora elongata (Cypriniformes: Cyprinidae).

IF 5.8 2区综合性期刊

Scientific Data Pub Date : 2025-04-01 DOI: 10.1038/s41597-025-04890-4

Pan Wang, Denghua Yin, Min Jiang, Lingli Xie, Jie Liu, Yukuan Chen, Xinyue Wang, Yan Shao, Kai Liu

{"title":"A chromosome-level genome assembly and annotation of the Pseudorasbora elongata (Cypriniformes: Cyprinidae).","authors":"Pan Wang, Denghua Yin, Min Jiang, Lingli Xie, Jie Liu, Yukuan Chen, Xinyue Wang, Yan Shao, Kai Liu","doi":"10.1038/s41597-025-04890-4","DOIUrl":"10.1038/s41597-025-04890-4","url":null,"abstract":"Pseudorasbora elongata is a unique small fish species endemic to China, distinguished by its striking body coloration resembling a \"Chinese ink brush.\" Due to environmental changes and anthropogenic factors, its wild populations have declined, and it has been listed multiple times as an endangered species. However, the absence of a chromosomal-level reference for P. elongata has hindered our understanding of its population genetics and conservation biology. To address this gap, we present a chromosome-level genome assembly of P. elongata, generated using PacBio HiFi reads, Oxford Nanopore Technologies, and Hi-C data. We get a genome size of 1.4 Gb with a contig N50 of 34.4 Mb and a scafold N50 of 53.7 Mb. Telomeric sequences were identified at the ends of 42 telomeres across 25 chromosomes. Notably, we observed a high degree of collinearity between our assembly and the Pseudorasbora parva genome. This study provides valuable insights into the genetics, genomics, and evolutionary history of P. elongata, offering a foundation for future research and enabling the development of genetic conservation strategies.","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"12 1","pages":"554"},"PeriodicalIF":5.8,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11961702/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143765012","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 unified ensemble soil moisture dataset across the continental United States.

IF 5.8 2区综合性期刊

Scientific Data Pub Date : 2025-04-01 DOI: 10.1038/s41597-025-04657-x

Lingcheng Li, Xinming Lin, Yilin Fang, Z Jason Hou, L Ruby Leung, Yaoping Wang, Jiafu Mao, Yaping Xu, Elias Massoud, Mingjie Shi

{"title":"A unified ensemble soil moisture dataset across the continental United States.","authors":"Lingcheng Li, Xinming Lin, Yilin Fang, Z Jason Hou, L Ruby Leung, Yaoping Wang, Jiafu Mao, Yaping Xu, Elias Massoud, Mingjie Shi","doi":"10.1038/s41597-025-04657-x","DOIUrl":"10.1038/s41597-025-04657-x","url":null,"abstract":"A unified ensemble soil moisture (SM) package has been developed over the Continental United States (CONUS). The data package includes 19 products from land surface models, remote sensing, reanalysis, and machine learning models. All datasets are unified to a 0.25-degree and monthly spatiotemporal resolution, providing a comprehensive view of surface SM dynamics. The statistical analysis of the datasets leverages the Koppen-Geiger Climate Classification to explore surface SM's spatiotemporal variabilities. The extracted SM characteristics highlight distinct patterns, with the western CONUS showing larger coefficient of variation values and the eastern CONUS exhibiting higher SM values. Remote sensing datasets tend to be drier, while reanalysis products present wetter conditions. In-situ SM observations serve as the basis for wavelet power spectrum analyses to explain discrepancies in temporal scales across datasets facilitating daily SM records. This study provides a comprehensive soil moisture data package and an analysis framework that can be used for Earth system model evaluations and uncertainty quantification, quantifying drought impacts and land-atmosphere interactions and making recommendations for drought response planning.","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"12 1","pages":"546"},"PeriodicalIF":5.8,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11961677/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143764648","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

PCMR: a comprehensive precancerous molecular resource.

IF 5.8 2区综合性期刊

Scientific Data Pub Date : 2025-04-01 DOI: 10.1038/s41597-025-04899-9

Yichun Xiong, Jiaqi Li, Wang Jin, Xiaoran Sheng, Hui Peng, Zhiyi Wang, Caifeng Jia, Lili Zhuo, Yibo Zhang, Jingzhe Huang, Modi Zhai, Beibei Lyu, Jie Sun, Meng Zhou

{"title":"PCMR: a comprehensive precancerous molecular resource.","authors":"Yichun Xiong, Jiaqi Li, Wang Jin, Xiaoran Sheng, Hui Peng, Zhiyi Wang, Caifeng Jia, Lili Zhuo, Yibo Zhang, Jingzhe Huang, Modi Zhai, Beibei Lyu, Jie Sun, Meng Zhou","doi":"10.1038/s41597-025-04899-9","DOIUrl":"10.1038/s41597-025-04899-9","url":null,"abstract":"Early detection and intervention of precancerous lesions are crucial in reducing cancer morbidity and mortality. Comprehensive analysis of genomic, transcriptomic, proteomic and epigenomic alterations can provide insights into the early stages of carcinogenesis. However, the lacke of an integrated, well-curated data resource of molecular signatures limits our understanding of precancerous processes. Here, we introduce a comprehensive PreCancerous Molecular Resource (PCMR), which compiles 25,828 molecular profiles of precancerous samples paired with normal or malignant counterparts. These profiles cover precancerous lesions of 35 cancer types across 20 organs and tissues, derived from tissue samples, liquid biopsies, cell lines and organoids, with data from transcriptomics, proteomics and epigenomics. PCMR includes 62,566 precancer-gene associations derived from differential analysis and text-mining using the ChatGPT large language model. We examined PCMR dataset reliability and significance by the authoritative precancerous molecular signature, along with its biological and clinical relevance. Overall, PCMR will serve as a valuable resource for advancing precancer research and ultimately improving patient outcomes.","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"12 1","pages":"551"},"PeriodicalIF":5.8,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11961594/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143764844","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

An chromosome-level haplotype-resolved genome assembly and annotation of pitaya (Selenicereus polyrhizus).

IF 5.8 2区综合性期刊

Scientific Data Pub Date : 2025-04-01 DOI: 10.1038/s41597-025-04678-6

Juncheng Li, Wenlong Luo, Biao Jiang, Satish Kumar, Mengfei Lin, Qingming Sun

{"title":"An chromosome-level haplotype-resolved genome assembly and annotation of pitaya (Selenicereus polyrhizus).","authors":"Juncheng Li, Wenlong Luo, Biao Jiang, Satish Kumar, Mengfei Lin, Qingming Sun","doi":"10.1038/s41597-025-04678-6","DOIUrl":"10.1038/s41597-025-04678-6","url":null,"abstract":"Pitaya, (Selenicereus spp.), a fruit originating from North and Central America and extensively cultivated in China and Vietnam, holds significant economic value. Utilizing PacBio HiFi sequencing and Oxford Nanopore Technologies ultra-long sequencing, aided by Hi-C data, we have assembled a chromosome-level haplotype-resolved genome. The sizes of the two haplotype genomes were determined to be 1.477 Gb (hap1, contig N50 = 133.35 Mb) and 1.442 Gb (hap2, contig N50 = 132.57 Mb), with 96.7% (hap1) and 98.4% (hap2) respectively allocated to 11 pseudochromosomes. Hap1 comprises 58.94% repeat sequences and predicts a total of 29,139 protein-coding gene models and 18,378 non-coding RNAs. Hap2 comprises 58.37% repeat sequences and predicts a total of 28,538 protein-coding gene models and 19,458 non-coding RNAs. Notably, 93.5% and 93.6% of protein-coding genes were annotated for the two haplotypes. The high-quality genome assembly presented in this study provides a valuable resource for future ecological, evolutionary, biological, and breeding research in pitaya.","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"12 1","pages":"549"},"PeriodicalIF":5.8,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11961769/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143764654","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

Pig and quail CpG methylation datasets from short and long read sequencing technologies.

IF 5.8 2区综合性期刊

Scientific Data Pub Date : 2025-04-01 DOI: 10.1038/s41597-025-04769-4

Paul Terzian, Céline Vandecasteele, Joanna Lledo, Rémy-Félix Serre, Jules Sabban, Claire Kuchly, Frédérique Pitel, Sophie Leroux, Julie Demars, Nathalie Iannuccelli, Katia Fève, Michèle Bonnet, Christine Gaspin, Denis Milan, Carole Iampietro, Christophe Klopp, Cécile Donnadieu

{"title":"Pig and quail CpG methylation datasets from short and long read sequencing technologies.","authors":"Paul Terzian, Céline Vandecasteele, Joanna Lledo, Rémy-Félix Serre, Jules Sabban, Claire Kuchly, Frédérique Pitel, Sophie Leroux, Julie Demars, Nathalie Iannuccelli, Katia Fève, Michèle Bonnet, Christine Gaspin, Denis Milan, Carole Iampietro, Christophe Klopp, Cécile Donnadieu","doi":"10.1038/s41597-025-04769-4","DOIUrl":"10.1038/s41597-025-04769-4","url":null,"abstract":"CpG methylation, a key epigenetic mark involved in gene regulation, development, and other biological processes, is commonly analyzed using Whole-Genome Bisulfite Sequencing (WGBS). However, bisulfite treatment causes significant DNA degradation. Enzymatic Methyl-seq (EM-seq) offers a short-read alternative that preserves DNA integrity but requires conversion steps, limiting its compatibility with downstream analyses. Third-generation sequencing technologies, such as Oxford Nanopore Technologies (ONT) and PacBio, enable direct detection of DNA modifications without altering the DNA, providing simultaneous genome and epigenome information. This work presents a comprehensive dataset combining long- and short-read sequencing data, including ONT, PacBio, Enzymatic Methyl-seq, and WGBS, for two agronomically relevant species: pig (Sus scrofa) and quail (Coturnix japonica). Data quality evaluation reveals high nucleotide quality scores for PacBio and short reads, robust alignment rates for long reads, and inter-method correlations in CpG methylation calling ranging from 0.76 to 0.99. This dataset is a valuable resource for training methylation callers and represents the first combined methylation dataset for these species, providing an essential benchmark for assessing emerging sequencing technologies.","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"12 1","pages":"556"},"PeriodicalIF":5.8,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11961558/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143764776","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

Comprehensive Toughness Dataset of Nuclear Reactor Structural Materials using Charpy V-Notch Impact Testing.

IF 5.8 2区综合性期刊

Scientific Data Pub Date : 2025-04-01 DOI: 10.1038/s41597-025-04823-1

Isshu Lee, John W Merickel, Yugandhar Kasala Sreenivasulu, Fei Xu, Yalei Tang, Joshua E Rittenhouse, Aleksandar Vakanski, Rongjie Song

{"title":"Comprehensive Toughness Dataset of Nuclear Reactor Structural Materials using Charpy V-Notch Impact Testing.","authors":"Isshu Lee, John W Merickel, Yugandhar Kasala Sreenivasulu, Fei Xu, Yalei Tang, Joshua E Rittenhouse, Aleksandar Vakanski, Rongjie Song","doi":"10.1038/s41597-025-04823-1","DOIUrl":"10.1038/s41597-025-04823-1","url":null,"abstract":"Reactor pressure vessel (RPV) steels are critical for maintaining the structural integrity and safety of nuclear reactors, designed to endure extreme conditions over prolonged operational lifetimes. Evaluating the mechanical properties of RPV steels frequently involves tests with sub-sized specimens, due to size constraints associated with irradiated materials. However, the reduced specimen dimensions introduce a size effect that alters material behavior and requires correlating the test results to full-sized specimens. Although numerous correlation methods have been previously proposed, they are typically applicable to specific test conditions. To address these challenges, this study introduces a public dataset of 4,961 Charpy impact test records for RPV steels. The dataset was compiled through a comprehensive literature review and incorporates data from 109 peer-reviewed publications. It provides detailed information on material composition, manufacturing treatments, specimen dimensions, testing conditions, and test results. The primary objective of the dataset is to advance the understanding of specimen size effect in Charpy impact testing, and support studies for validating existing methods and developing data-driven approaches for test results correlation.","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"12 1","pages":"543"},"PeriodicalIF":5.8,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11961680/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143764718","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-Res Acoustic and Environmental Data to Monitor Bombus dahlbomii Amid Invasive Species, Habitat Loss.

IF 5.8 2区综合性期刊

Scientific Data Pub Date : 2025-04-01 DOI: 10.1038/s41597-025-04877-1

Patrick Chwalek, Marie Kuronaga, Isamar Zhu, Sophia Montague, Victoria Campopiano Robinson, Josefina Lohrmann, Cristian Alfonso Villagra Gil, David Susič, Anton Gradišek, Johannes Schul, Joseph A Paradiso, Marina Arbetman

{"title":"High-Res Acoustic and Environmental Data to Monitor Bombus dahlbomii Amid Invasive Species, Habitat Loss.","authors":"Patrick Chwalek, Marie Kuronaga, Isamar Zhu, Sophia Montague, Victoria Campopiano Robinson, Josefina Lohrmann, Cristian Alfonso Villagra Gil, David Susič, Anton Gradišek, Johannes Schul, Joseph A Paradiso, Marina Arbetman","doi":"10.1038/s41597-025-04877-1","DOIUrl":"10.1038/s41597-025-04877-1","url":null,"abstract":"The decline of the endemic Patagonian bumblebee (Bombus dahlbomii) as a result of invasive species and habitat loss, among other stressors, has raised significant conservation concerns for the species and the ecosystem it inhabits. In order to monitor this endangered species, traditional methods are limited by labor-intensive visual surveys or lethal sampling methods. We applied passive acoustic monitoring (PAM) as a non-invasive alternative to conventional monitoring techniques to collect a comprehensive dataset of the soundscape of Puerto Blest, Argentina, focusing on bumblebee bioacoustics and environmental variables. Our dataset, collected using custom stereo acoustic recorders, includes audio, temperature, humidity, and gas concentration data from twelve locations over six days, covering different weather conditions. Annotations marking native and invasive bee segments provide insights into the ecology of B. dahlbomii and its interactions with invasive species, Bombus terrestris. This dataset facilitates the development of machine learning models for monitoring Bombus populations, crucial for conservation efforts. Additionally, our robust data annotation techniques enhance the dataset's reliability for future modeling work.","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"12 1","pages":"548"},"PeriodicalIF":5.8,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11961712/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143764838","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