Search Results - "Scientific data"

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  1. 1

    Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset by Harris, Ian, Osborn, Timothy J., Jones, Phil, Lister, David

    Published in Scientific data (03-04-2020)
    “…CRU TS (Climatic Research Unit gridded Time Series) is a widely used climate dataset on a 0.5° latitude by 0.5° longitude grid over all land domains of the…”
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    Journal Article
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    MIMIC-IV, a freely accessible electronic health record dataset by Johnson, Alistair E. W., Bulgarelli, Lucas, Shen, Lu, Gayles, Alvin, Shammout, Ayad, Horng, Steven, Pollard, Tom J., Hao, Sicheng, Moody, Benjamin, Gow, Brian, Lehman, Li-wei H., Celi, Leo A., Mark, Roger G.

    Published in Scientific data (03-01-2023)
    “…Digital data collection during routine clinical practice is now ubiquitous within hospitals. The data contains valuable information on the care of patients and…”
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    Journal Article
  3. 3

    The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data by Canfora, Eleonora, Chu, Housen, Humphrey, Marty, Polidori, Diego, Vuichard, Nicolas, Ardö, Jonas, Arndt, Stefan K., Arriga, Nicola, Barr, Alan, Beringer, Jason, Bernhofer, Christian, Berveiller, Daniel, Black, Thomas Andrew, Boike, Julia, Bonal, Damien, Bonnefond, Jean-Marc, Bowling, David R., Buchmann, Nina, Burns, Sean P., Cavagna, Mauro, Cellier, Pierre, Christensen, Torben R., Cleverly, James, Collalti, Alessio, Consalvo, Claudia, Cook, Bruce D., Cook, David, Cremonese, Edoardo, D’Andrea, Ettore, Davis, Kenneth J., Delpierre, Nicolas, Domingo, Francisco, Dunn, Allison, Dušek, Jiří, Eichelmann, Uwe, ElKhidir, Hatim Abdalla M., Eugster, Werner, Ewers, Brent, Famulari, Daniela, Feitz, Andrew, Fensholt, Rasmus, Gitelson, Anatoly, Griebel, Anne, Gruening, Carsten, Hansen, Birger Ulf, Hatakka, Juha, He, Yongtao, Hehn, Markus, Heinesch, Bernard, Hutley, Lindsay, Ibrom, Andreas, Klatt, Janina, Knohl, Alexander, Kobayashi, Hideki, Kolle, Olaf, Kosugi, Yoshiko, Kotani, Ayumi, Kowalski, Andrew, Kutsch, Werner L., Kwon, Hyojung, Launiainen, Samuli, Li, Yingnian, Lion, Marryanna, López-Blanco, Efrén, Mammarella, Ivan, Manca, Giovanni, Marcolla, Barbara, Marras, Serena, Mazzenga, Francesco, McCaughey, Harry, Merbold, Lutz, Miller, Scott D., Moderow, Uta, Moors, Eddy, Moureaux, Christine, Nesic, Zoran, Noormets, Asko, Novick, Kimberly, Oechel, Walter, Ourcival, Jean-Marc, Parmentier, Frans-Jan, Pilegaard, Kim, Pirk, Norbert, Posse, Gabriela, Prasse, Heiko, Rebmann, Corinna, Sabbatini, Simone, Sachs, Torsten, Sánchez-Cañete, Enrique P., Schmid, Hans Peter, Shi, Peili, Sturtevant, Cove, Thom, Jonathan, Verfaillie, Joseph, Walker, Jeffrey P., Wolf, Sebastian, Zhang, Junhui, Zhou, Guoyi, Biraud, Sebastien, Torn, Margaret

    Published in Scientific data (09-07-2020)
    “…The FLUXNET2015 dataset provides ecosystem-scale data on CO 2 , water, and energy exchange between the biosphere and the atmosphere, and other meteorological…”
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    Journal Article Web Resource
  4. 4

    Present and future Köppen-Geiger climate classification maps at 1-km resolution by Beck, Hylke E., Zimmermann, Niklaus E., McVicar, Tim R., Vergopolan, Noemi, Berg, Alexis, Wood, Eric F.

    Published in Scientific data (30-10-2018)
    “…We present new global maps of the Köppen-Geiger climate classification at an unprecedented 1-km resolution for the present-day (1980–2016) and for projected…”
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    Journal Article
  5. 5

    The first high-resolution meteorological forcing dataset for land process studies over China by He, Jie, Yang, Kun, Tang, Wenjun, Lu, Hui, Qin, Jun, Chen, Yingying, Li, Xin

    Published in Scientific data (21-01-2020)
    “…The China Meteorological Forcing Dataset (CMFD) is the first high spatial-temporal resolution gridded near-surface meteorological dataset developed…”
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    Journal Article
  6. 6

    County-level CO2 emissions and sequestration in China during 1997–2017 by Chen, Jiandong, Gao, Ming, Cheng, Shulei, Hou, Wenxuan, Song, Malin, Liu, Xin, Liu, Yu, Shan, Yuli

    Published in Scientific data (12-11-2020)
    “…With the implementation of China’s top-down CO 2 emissions reduction strategy, the regional differences should be considered. As the most basic governmental…”
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    Journal Article
  7. 7

    MedMNIST v2 - A large-scale lightweight benchmark for 2D and 3D biomedical image classification by Yang, Jiancheng, Shi, Rui, Wei, Donglai, Liu, Zequan, Zhao, Lin, Ke, Bilian, Pfister, Hanspeter, Ni, Bingbing

    Published in Scientific data (19-01-2023)
    “…We introduce MedMNIST v2 , a large-scale MNIST-like dataset collection of standardized biomedical images, including 12 datasets for 2D and 6 datasets for 3D…”
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    Journal Article
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    MIMIC-CXR, a de-identified publicly available database of chest radiographs with free-text reports by Johnson, Alistair E. W., Pollard, Tom J., Berkowitz, Seth J., Greenbaum, Nathaniel R., Lungren, Matthew P., Deng, Chih-ying, Mark, Roger G., Horng, Steven

    Published in Scientific data (12-12-2019)
    “…Chest radiography is an extremely powerful imaging modality, allowing for a detailed inspection of a patient’s chest, but requires specialized training for…”
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    Journal Article
  10. 10

    China CO2 emission accounts 2016–2017 by Shan, Yuli, Huang, Qi, Guan, Dabo, Hubacek, Klaus

    Published in Scientific data (13-02-2020)
    “…Despite China’s emissions having plateaued in 2013, it is still the world’s leading energy consumer and CO 2 emitter, accounting for approximately 30% of…”
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    Journal Article
  11. 11

    PTB-XL, a large publicly available electrocardiography dataset by Wagner, Patrick, Strodthoff, Nils, Bousseljot, Ralf-Dieter, Kreiseler, Dieter, Lunze, Fatima I., Samek, Wojciech, Schaeffter, Tobias

    Published in Scientific data (25-05-2020)
    “…Electrocardiography (ECG) is a key non-invasive diagnostic tool for cardiovascular diseases which is increasingly supported by algorithms based on machine…”
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    Journal Article
  12. 12

    The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions by Tschandl, Philipp, Rosendahl, Cliff, Kittler, Harald

    Published in Scientific data (14-08-2018)
    “…Training of neural networks for automated diagnosis of pigmented skin lesions is hampered by the small size and lack of diversity of available datasets of…”
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    Journal Article
  13. 13

    The eICU Collaborative Research Database, a freely available multi-center database for critical care research by Pollard, Tom J., Johnson, Alistair E. W., Raffa, Jesse D., Celi, Leo A., Mark, Roger G., Badawi, Omar

    Published in Scientific data (11-09-2018)
    “…Critical care patients are monitored closely through the course of their illness. As a result of this monitoring, large amounts of data are routinely collected…”
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    Journal Article
  14. 14

    TerraClimate, a high-resolution global dataset of monthly climate and climatic water balance from 1958–2015 by Abatzoglou, John T., Dobrowski, Solomon Z., Parks, Sean A., Hegewisch, Katherine C.

    Published in Scientific data (09-01-2018)
    “…We present TerraClimate, a dataset of high-spatial resolution (1/24°, ~4-km) monthly climate and climatic water balance for global terrestrial surfaces from…”
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    Journal Article
  15. 15

    Climatologies at high resolution for the earth’s land surface areas by Karger, Dirk Nikolaus, Conrad, Olaf, Böhner, Jürgen, Kawohl, Tobias, Kreft, Holger, Soria-Auza, Rodrigo Wilber, Zimmermann, Niklaus E., Linder, H. Peter, Kessler, Michael

    Published in Scientific data (05-09-2017)
    “…High-resolution information on climatic conditions is essential to many applications in environmental and ecological sciences. Here we present the CHELSA…”
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    Journal Article
  16. 16

    Version 3 of the Global Aridity Index and Potential Evapotranspiration Database by Zomer, Robert J., Xu, Jianchu, Trabucco, Antonio

    Published in Scientific data (15-07-2022)
    “…The “Global Aridity Index and Potential Evapotranspiration Database - Version 3” (Global-AI_PET_v3) provides high-resolution (30 arc-seconds) global…”
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    Journal Article
  17. 17

    Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features by Bakas, Spyridon, Akbari, Hamed, Sotiras, Aristeidis, Bilello, Michel, Rozycki, Martin, Kirby, Justin S., Freymann, John B., Farahani, Keyvan, Davatzikos, Christos

    Published in Scientific data (05-09-2017)
    “…Gliomas belong to a group of central nervous system tumors, and consist of various sub-regions. Gold standard labeling of these sub-regions in radiographic…”
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    Journal Article
  18. 18

    Multitask learning and benchmarking with clinical time series data by Harutyunyan, Hrayr, Khachatrian, Hrant, Kale, David C., Ver Steeg, Greg, Galstyan, Aram

    Published in Scientific data (17-06-2019)
    “…Health care is one of the most exciting frontiers in data mining and machine learning. Successful adoption of electronic health records (EHRs) created an…”
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    Journal Article
  19. 19

    A cross-country database of COVID-19 testing by Hasell, Joe, Mathieu, Edouard, Beltekian, Diana, Macdonald, Bobbie, Giattino, Charlie, Ortiz-Ospina, Esteban, Roser, Max, Ritchie, Hannah

    Published in Scientific data (08-10-2020)
    “…Our understanding of the evolution of the COVID-19 pandemic is built upon data concerning confirmed cases and deaths. This data, however, can only be…”
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    Journal Article
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