cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25625/y9diop/qj49ed
title: Exp_X_22_Vinculin.tif

description: :unav
DOI: 10.25625/y9diop/tctzqs
title: gel2.obf - Overview 1-Image 4-STAR 580 STED.tif

description: :unav
DOI: 10.25625/y9diop/0y3bdc
title: gel2.obf - Overview 1-Image 4-SiR.tif

description: :unav
DOI: 10.25625/y9diop/gwdgx2
title: Exp_X_23_TFM_BF.tif

description: :unav
DOI: 10.25625/y9diop/feksuf
title: beads.tif

description: :unav
DOI: 10.25625/y9diop/ks6nyz
title: Exp_X_22_Actin.tif

description: :unav
DOI: 10.25625/y9diop/cgkdcx
title: beads.tif

description: :unav
DOI: 10.25625/y9diop/x4lbtd
title: beads.tif

description: :unav
DOI: 10.25625/y9diop/d3prlp
title: gel2.obf - Overview 1-Image 20-SiR STED.tif

description: :unav
DOI: 10.25625/y9diop/wdsjmb
title: gel2.obf - Overview 1-Image 16-STAR 580 STED.tif

description: :unav
DOI: 10.25625/y9diop/hdlfg2
title: Exp_X_12_Vinculin.tif

description: :unav
DOI: 10.25625/y9diop/zycxfx
title: gel2.obf - Overview 1-Image 21-SiR.tif

description: :unav
DOI: 10.25625/y9diop/wmyovd
title: gel2.obf - Overview 1-Image 20-SiR.tif

description: :unav
DOI: 10.25625/y9diop/ciamle
title: Exp_X_07_TFM_BW.tif

description: :unav
DOI: 10.25625/y9diop/muhtli
title: Exp_X_26_Actin.tif

description: :unav
DOI: 10.25625/y9diop/xqx5ia
title: Exp_X_13_TFM_BW.tif

description: :unav
DOI: 10.25625/y9diop/zfyqyv
title: gel2.obf - Overview 1-Image 18-STAR 580 STED.tif

description: :unav
DOI: 10.25625/y9diop/uifemt
title: beads.tif

description: :unav
DOI: 10.25625/y9diop/8djv4l
title: beads.tif

description: :unav
DOI: 10.25625/y9diop/carlbs
title: gel2.obf - Overview 1-Image 21-STAR 580.tif

description: :unav
DOI: 10.25625/y9diop/pswbkb
title: gel2.obf - Overview 1-Image 20-STAR 580 STED.tif

description: :unav
DOI: 10.25625/y9diop/5uuh9d
title: gel2.obf - Overview 1-Image 8-STAR 580.tif

description: :unav
DOI: 10.25625/y9diop/raczsb
title: gel2.obf - Overview 1-Image 18-SiR.tif

description: :unav
DOI: 10.25625/y9diop/l5fbvs
title: Exp_X_05_Actin.tif

description: :unav
DOI: 10.25625/y9diop/yrea2u
title: gel2.obf - Overview 1-Image 16-SiR STED.tif

description: :unav
DOI: 10.25625/y9diop/uwgt4l
title: gel2.obf - Overview 1-Image 16-STAR 580.tif

description: :unav
DOI: 10.25625/y9diop
title: Original data for the following publication "Force generation in human blood platelets by filamentous actomyosin structures, Zelena, Blumberg, Probst, Gerasimaite, Lukinavicius, Schwarz and Koester, Biophysical Journal, 2023"; Original raw data used in the publication.

description: source data which support the results presented in the corresponding publication, as a Matlab file containing several variables for different Thrombin and Fibrinogen concentrations
DOI: 10.25625/y9diop/2wcewa
title: Actin_analysis.zip

description: :unav
DOI: 10.5281/zenodo.8208073
title: Dataset: Context-based Access Control and Attack Modelling and Analysis

description: This repository contains the dataset for my PhD thesis "Context-based Access Control and Attack Modelling and Analysis". For the description, please look at the included README.md for further description.
DOI: 10.5281/zenodo.8208072
title: Dataset: Context-based Access Control and Attack Modelling and Analysis

description: This repository contains the dataset for my PhD thesis "Context-based Access Control and Attack Modelling and Analysis". For the description, please look at the included README.md for further description.
DOI: 10.5281/zenodo.8275683
title: ELITE land surface temperature: Landsat LST over CONUS (2002.1)

description: The <strong>E</strong>ssential therma<strong>L</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn). This dataset is the ELITE Landsat LST dataset over the CONUS generated by the radiative transfer method (Cheng et al., 2021). Firstly, a new scheme was used to determine the real-time Landsat 5/7/8 narrowband emissivity. Then, the MERRA2 reanalysis product was used for thermal infrared data atmospheric correction (Meng and Cheng, 2018). Finally, an LST product with 30m spatial resolution was generated using the radiative transfer equation method. This is the ELITE Landsat LST dataset from Landsat 7 in January 2002. Please <em>click here</em> to download the ELITE Landsat LST from Landsat 7 in July 2002. <strong>Dataset Characteristics:</strong> Spatial Coverage: Continental United States Temporal Coverage: 2002.1 Spatial Resolution: 30m Temporal Resolution: 16 days Data Format: Geotiff Scale: 0.01 <strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong> Cheng, J., Meng, X., Dong, S., & Liang, S. (2021). Generating the 30-m land surface temperature product over continental China and USA from landsat 5/7/8 data. Science of Remote Sensing, 4, 100032 Meng, X., & Cheng, J. (2018). Evaluating Eight Global Reanalysis Products for Atmospheric Correction of Thermal Infrared Sensor—Application to Landsat 8 TIRS10 Data. Remote Sensing, 10, 474 If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.5281/zenodo.8275682
title: ELITE land surface temperature: Landsat LST over CONUS (2002.1)

description: The <strong>E</strong>ssential therma<strong>L</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn). This dataset is the ELITE Landsat LST dataset over the CONUS generated by the radiative transfer method (Cheng et al., 2021). Firstly, a new scheme was used to determine the real-time Landsat 5/7/8 narrowband emissivity. Then, the MERRA2 reanalysis product was used for thermal infrared data atmospheric correction (Meng and Cheng, 2018). Finally, an LST product with 30m spatial resolution was generated using the radiative transfer equation method. This is the ELITE Landsat LST dataset from Landsat 7 in January 2002. Please <em>click here</em> to download the ELITE Landsat LST from Landsat 7 in July 2002. <strong>Dataset Characteristics:</strong> Spatial Coverage: Continental United States Temporal Coverage: 2002.1 Spatial Resolution: 30m Temporal Resolution: 16 days Data Format: Geotiff Scale: 0.01 <strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong> Cheng, J., Meng, X., Dong, S., & Liang, S. (2021). Generating the 30-m land surface temperature product over continental China and USA from landsat 5/7/8 data. Science of Remote Sensing, 4, 100032 Meng, X., & Cheng, J. (2018). Evaluating Eight Global Reanalysis Products for Atmospheric Correction of Thermal Infrared Sensor—Application to Landsat 8 TIRS10 Data. Remote Sensing, 10, 474 If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.5281/zenodo.8275689
title: ELITE land surface temperature: Landsat LST over CONUS (2002.7)

description: The <strong>E</strong>ssential therma<strong>L</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn). This dataset is the ELITE Landsat LST dataset over the CONUS generated by the radiative transfer method (Cheng et al., 2021). Firstly, a new scheme was used to determine the real-time Landsat 5/7/8 narrowband emissivity. Then, the MERRA2 reanalysis product was used for thermal infrared data atmospheric correction (Meng and Cheng, 2018). Finally, an LST product with 30m spatial resolution was generated using the radiative transfer equation method. This is the ELITE Landsat LST dataset from Landsat 7 in July 2002. Please <em>click here</em> to download the ELITE Landsat LST from Landsat 7 in January 2002. <strong>Dataset Characteristics:</strong> Spatial Coverage: Continental United States Temporal Coverage: 2002.7 Spatial Resolution: 30m Temporal Resolution: 16 days Data Format: Geotiff Scale: 0.01 <strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong> Cheng, J., Meng, X., Dong, S., & Liang, S. (2021). Generating the 30-m land surface temperature product over continental China and USA from landsat 5/7/8 data. Science of Remote Sensing, 4, 100032 Meng, X., & Cheng, J. (2018). Evaluating Eight Global Reanalysis Products for Atmospheric Correction of Thermal Infrared Sensor—Application to Landsat 8 TIRS10 Data. Remote Sensing, 10, 474 If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.5281/zenodo.8275688
title: ELITE land surface temperature: Landsat LST over CONUS (2002.7)

description: The <strong>E</strong>ssential therma<strong>L</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn). This dataset is the ELITE Landsat LST dataset over the CONUS generated by the radiative transfer method (Cheng et al., 2021). Firstly, a new scheme was used to determine the real-time Landsat 5/7/8 narrowband emissivity. Then, the MERRA2 reanalysis product was used for thermal infrared data atmospheric correction (Meng and Cheng, 2018). Finally, an LST product with 30m spatial resolution was generated using the radiative transfer equation method. This is the ELITE Landsat LST dataset from Landsat 7 in July 2002. Please <em>click here</em> to download the ELITE Landsat LST from Landsat 7 in January 2002. <strong>Dataset Characteristics:</strong> Spatial Coverage: Continental United States Temporal Coverage: 2002.7 Spatial Resolution: 30m Temporal Resolution: 16 days Data Format: Geotiff Scale: 0.01 <strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong> Cheng, J., Meng, X., Dong, S., & Liang, S. (2021). Generating the 30-m land surface temperature product over continental China and USA from landsat 5/7/8 data. Science of Remote Sensing, 4, 100032 Meng, X., & Cheng, J. (2018). Evaluating Eight Global Reanalysis Products for Atmospheric Correction of Thermal Infrared Sensor—Application to Landsat 8 TIRS10 Data. Remote Sensing, 10, 474 If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.5281/zenodo.5730606
title: Metagenomes: metadata, taxonomic abundances, PlasX scores, circularity, and contig sequences

description: This repository contains files that describe the ~36 million contigs that were assembled from 1,782 metagenomes metagenomes_contigs.tar.gz Fasta files of contig sequences. One file per metagenome metagenomes_metadata.txt Information about the 1,782 metagenomes metagenomes_taxonomic_abundances.txt.gz Taxonomic abundances in metagenomes, inferred by kraken2 and bracken metagenomes_contigs_summary.txt.gz PlasX scores Metagenomic coverage and detection Circularity
DOI: 10.5281/zenodo.5730607
title: Metagenomes: metadata, taxonomic abundances, PlasX scores, and contig sequences

description: Contig sequences assembled from 1,782 metagenomes. Taxonomic abundances in metagenomes, inferred by kraken2 and bracken PlasX scores for every contig
DOI: 10.5281/zenodo.8175278
title: Metagenomes: metadata, taxonomic abundances, PlasX scores, circularity, and contig sequences

description: This repository contains files that describe the ~36 million contigs that were assembled from 1,782 metagenomes metagenomes_contigs.tar.gz Fasta files of contig sequences. One file per metagenome metagenomes_metadata.txt Information about the 1,782 metagenomes metagenomes_taxonomic_abundances.txt.gz Taxonomic abundances in metagenomes, inferred by kraken2 and bracken metagenomes_contigs_summary.txt.gz PlasX scores Metagenomic coverage and detection Circularity
DOI: 10.5281/zenodo.8294409
title: GF2 Images

description: Some GF2 image fragments near the Beijing Olympic Center.
DOI: 10.5281/zenodo.8294408
title: GF2 Images

description: Some GF2 image fragments near the Beijing Olympic Center.
DOI: 10.5281/zenodo.8275613
title: ELITE land surface temperature: Landsat LST over CONUS (2005.1)

description: The <strong>E</strong>ssential therma<strong>L</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn). This dataset is the ELITE Landsat LST dataset over the CONUS generated by the radiative transfer method (Cheng et al., 2021). Firstly, a new scheme was used to determine the real-time Landsat 5/7/8 narrowband emissivity . Then, the MERRA2 reanalysis product was used for thermal infrared data atmospheric correction (Meng and Cheng, 2018). Finally, an LST product with 30m spatial resolution was generated using the radiative transfer equation method. This is the ELITE Landsat LST dataset from Landsat 5 in January 2005. Please <em>click here</em> to download the ELITE Landsat LST from Landsat 5 in July 2005. <strong>Dataset Characteristics:</strong> Spatial Coverage: Continental United States Temporal Coverage: 2005.1 Spatial Resolution: 30m Temporal Resolution: 16 days Data Format: Geotiff Scale: 0.01 <strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong> Cheng, J., Meng, X., Dong, S., & Liang, S. (2021). Generating the 30-m land surface temperature product over continental China and USA from landsat 5/7/8 data. Science of Remote Sensing, 4, 100032 Meng, X., & Cheng, J. (2018). Evaluating Eight Global Reanalysis Products for Atmospheric Correction of Thermal Infrared Sensor—Application to Landsat 8 TIRS10 Data. Remote Sensing, 10, 474 If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.5281/zenodo.8275612
title: ELITE land surface temperature: Landsat LST over CONUS (2005.1)

description: The <strong>E</strong>ssential therma<strong>L</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn). This dataset is the ELITE Landsat LST dataset over the CONUS generated by the radiative transfer method (Cheng et al., 2021). Firstly, a new scheme was used to determine the real-time Landsat 5/7/8 narrowband emissivity . Then, the MERRA2 reanalysis product was used for thermal infrared data atmospheric correction (Meng and Cheng, 2018). Finally, an LST product with 30m spatial resolution was generated using the radiative transfer equation method. This is the ELITE Landsat LST dataset from Landsat 5 in January 2005. Please <em>click here</em> to download the ELITE Landsat LST from Landsat 5 in July 2005. <strong>Dataset Characteristics:</strong> Spatial Coverage: Continental United States Temporal Coverage: 2005.1 Spatial Resolution: 30m Temporal Resolution: 16 days Data Format: Geotiff Scale: 0.01 <strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong> Cheng, J., Meng, X., Dong, S., & Liang, S. (2021). Generating the 30-m land surface temperature product over continental China and USA from landsat 5/7/8 data. Science of Remote Sensing, 4, 100032 Meng, X., & Cheng, J. (2018). Evaluating Eight Global Reanalysis Products for Atmospheric Correction of Thermal Infrared Sensor—Application to Landsat 8 TIRS10 Data. Remote Sensing, 10, 474 If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.5281/zenodo.8275617
title: ELITE land surface temperature: Landsat LST over CONUS (2005.7)

description: The <strong>E</strong>ssential therma<strong>L</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn). This dataset is the ELITE Landsat LST dataset over the CONUS generated by the radiative transfer method (Cheng et al., 2021). Firstly, a new scheme was used to determine the real-time Landsat 5/7/8 narrowband emissivity . Then, the MERRA2 reanalysis product was used for thermal infrared data atmospheric correction (Meng and Cheng, 2018). Finally, an LST product with 30m spatial resolution was generated using the radiative transfer equation method. This is the ELITE Landsat LST dataset from Landsat 5 in July 2005. Please <em>click here</em> to download the ELITE Landsat LST from Landsat 5 in January 2005. <strong>Dataset Characteristics:</strong> Spatial Coverage: Continental United States Temporal Coverage: 2005.7 Spatial Resolution: 30m Temporal Resolution: 16 days Data Format: Geotiff Scale: 0.01 <strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong> Cheng, J., Meng, X., Dong, S., & Liang, S. (2021). Generating the 30-m land surface temperature product over continental China and USA from landsat 5/7/8 data. Science of Remote Sensing, 4, 100032 Meng, X., & Cheng, J. (2018). Evaluating Eight Global Reanalysis Products for Atmospheric Correction of Thermal Infrared Sensor—Application to Landsat 8 TIRS10 Data. Remote Sensing, 10, 474 If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.5281/zenodo.8275616
title: ELITE land surface temperature: Landsat LST over CONUS (2005.7)

description: The <strong>E</strong>ssential therma<strong>L</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn). This dataset is the ELITE Landsat LST dataset over the CONUS generated by the radiative transfer method (Cheng et al., 2021). Firstly, a new scheme was used to determine the real-time Landsat 5/7/8 narrowband emissivity . Then, the MERRA2 reanalysis product was used for thermal infrared data atmospheric correction (Meng and Cheng, 2018). Finally, an LST product with 30m spatial resolution was generated using the radiative transfer equation method. This is the ELITE Landsat LST dataset from Landsat 5 in July 2005. Please <em>click here</em> to download the ELITE Landsat LST from Landsat 5 in January 2005. <strong>Dataset Characteristics:</strong> Spatial Coverage: Continental United States Temporal Coverage: 2005.7 Spatial Resolution: 30m Temporal Resolution: 16 days Data Format: Geotiff Scale: 0.01 <strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong> Cheng, J., Meng, X., Dong, S., & Liang, S. (2021). Generating the 30-m land surface temperature product over continental China and USA from landsat 5/7/8 data. Science of Remote Sensing, 4, 100032 Meng, X., & Cheng, J. (2018). Evaluating Eight Global Reanalysis Products for Atmospheric Correction of Thermal Infrared Sensor—Application to Landsat 8 TIRS10 Data. Remote Sensing, 10, 474 If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.34740/kaggle/dsv/6382569
title: AutoXGB
DOI: 10.6084/m9.figshare.24049239
title: 200-MFW

description: 200-MFW
DOI: 10.6084/m9.figshare.24049239.v1
title: 200-MFW

description: 200-MFW
DOI: 10.48786/edbt.2022.23
title: Evaluating In-Memory Hash Joins on Persistent Memory