cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48420/23786238
title: Data: Associations between light exposure and sleep timing and sleepiness while awake in a sample of UK adults in everyday life

description: Raw data of the research paper, 'Associations between light exposure and sleep timing and sleepiness while awake in a sample of UK adults in everyday life'. We incorporate an open-source wearable wrist-worn light logger (Spectrawear) and smart-phone based online data collection. We simultaneously record longitudinal light exposure (in equivalent daylight illuminance (EDI)), sleep timing, and subjective alertness over seven days, in a convenience sample of 59 UK adults without externally imposed circadian challenge (e.g. shift-work or jetlag). The monitor was set with a 30-second sampling interval. Participants were asked to wear the device during the day and to take it off just before their bedtimes by leaving it to a location in the same room (preferably near eye level). The repeated measure of sleepiness was collected by the Karolinska Sleepiness Scale (KSS) 10-item version (score 10: extremely sleepy). The sleep diary file includes wake time in the survey date and bedtime (zero=midnight), subjective sleep quality, sleep duration (hours), sleep latency (hours, how long it took to fall asleep after going to bed), napping, smoking, alcohol and caffeine usage yesterday. The baseline file includes age, sex, subjective health score, subjective chronotype, MCTQ MSFsc, PSQI total score, IPAQ activity category, general smoking, alcohol and caffeine usage behaviours. <br>
DOI: 10.5281/zenodo.8264535
title: Sequence-based identification of amyloidogenic β-hairpins

description: Data for: Heid et al., Sequence-based identification of amyloidogenic β-hairpins reveals a prostatic acid phosphatase fragment promoting semen amyloid formation The dataset contains code and output sequences for sequence-based identification of amyloidogenic β-hairpins
DOI: 10.5281/zenodo.8264534
title: Sequence-based identification of amyloidogenic β-hairpins

description: Data for: Heid et al., Sequence-based identification of amyloidogenic β-hairpins reveals a prostatic acid phosphatase fragment promoting semen amyloid formation The dataset contains code and output sequences for sequence-based identification of amyloidogenic β-hairpins
DOI: 10.5281/zenodo.8280792
title: ELITE emissivity: Landsat NBE over CONUS (2014.7)

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 narrowband (NBE) emissivity dataset (Landsat8 Channel 10) over the continental United States (Cheng et al. 2021). For the non-vegetated surfaces, the LSEs were estimated using an empirical method that establishes the linkages between the ASTER NBE product and the Landsat SR product. For the vegetated surfaces, the LSEs were derived by using the 4SAIL model established lookup table (LUT) provided with the NBE of the leaf emissivity, soil background emissivity, and leaf area index (LAI). This is the ELITE Landsat NBE dataset from Landsat 8 in July 2014. Please <strong><em>click here</em></strong> to download the ELITELandsat NBE dataset from Landsat 8 in January 2014. <strong>Dataset Characteristics:</strong> Spatial Coverage: The Continental United States Temporal Coverage: 2014.7 Spatial Resolution: 30m Temporal Resolution: 16 days Data Format: Geotiff Scale: 0.001 <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 If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.5281/zenodo.8280791
title: ELITE emissivity: Landsat NBE over CONUS (2014.7)

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 narrowband (NBE) emissivity dataset (Landsat8 Channel 10) over the continental United States (Cheng et al. 2021). For the non-vegetated surfaces, the LSEs were estimated using an empirical method that establishes the linkages between the ASTER NBE product and the Landsat SR product. For the vegetated surfaces, the LSEs were derived by using the 4SAIL model established lookup table (LUT) provided with the NBE of the leaf emissivity, soil background emissivity, and leaf area index (LAI). This is the ELITE Landsat NBE dataset from Landsat 8 in July 2014. Please <strong><em>click here</em></strong> to download the ELITELandsat NBE dataset from Landsat 8 in January 2014. <strong>Dataset Characteristics:</strong> Spatial Coverage: The Continental United States Temporal Coverage: 2014.7 Spatial Resolution: 30m Temporal Resolution: 16 days Data Format: Geotiff Scale: 0.001 <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 If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.5281/zenodo.8296815
title: Dataset for the paper Plasma metabolomics and lipidomics profiling reveal signatures of Hepatocellular carcinoma.

description: The following dataset contains data from MS metabolome and lipidome profiling of HCV patients
DOI: 10.5281/zenodo.8296814
title: Dataset for the paper Plasma metabolomics and lipidomics profiling reveal signatures of Hepatocellular carcinoma.

description: The following dataset contains data from MS metabolome and lipidome profiling of HCV patients
DOI: 10.5281/zenodo.8280772
title: ELITE emissivity: Landsat NBE 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 narrowband (NBE) emissivity dataset (Landsat7 Channel 6) over the continental United States (Cheng et al. 2021). For the non-vegetated surfaces, the LSEs were estimated using an empirical method that establishes the linkages between the ASTER NBE product and the Landsat SR product. For the vegetated surfaces, the LSEs were derived by using the 4SAIL model established lookup table (LUT) provided with the NBE of the leaf emissivity, soil background emissivity, and leaf area index (LAI). This is the ELITE Landsat NBE dataset from Landsat 7 in January 2002. Please <strong><em>click here</em></strong> to download the ELITE Landsat NBE dataset from Landsat 7 in July 2002. <strong>Dataset Characteristics:</strong> Spatial Coverage: The Continental United States Temporal Coverage: 2002.1 Spatial Resolution: 30m Temporal Resolution: 16 days Data Format: Geotiff Scale: 0.001 <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 If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.5281/zenodo.8280771
title: ELITE emissivity: Landsat NBE 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 narrowband (NBE) emissivity dataset (Landsat7 Channel 6) over the continental United States (Cheng et al. 2021). For the non-vegetated surfaces, the LSEs were estimated using an empirical method that establishes the linkages between the ASTER NBE product and the Landsat SR product. For the vegetated surfaces, the LSEs were derived by using the 4SAIL model established lookup table (LUT) provided with the NBE of the leaf emissivity, soil background emissivity, and leaf area index (LAI). This is the ELITE Landsat NBE dataset from Landsat 7 in January 2002. Please <strong><em>click here</em></strong> to download the ELITE Landsat NBE dataset from Landsat 7 in July 2002. <strong>Dataset Characteristics:</strong> Spatial Coverage: The Continental United States Temporal Coverage: 2002.1 Spatial Resolution: 30m Temporal Resolution: 16 days Data Format: Geotiff Scale: 0.001 <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 If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.5281/zenodo.8280781
title: ELITE emissivity: Landsat NBE 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 narrowband (NBE) emissivity dataset (Landsat7 Channel 6) over the continental United States (Cheng et al. 2021). For the non-vegetated surfaces, the LSEs were estimated using an empirical method that establishes the linkages between the ASTER NBE product and the Landsat SR product. For the vegetated surfaces, the LSEs were derived by using the 4SAIL model established lookup table (LUT) provided with the NBE of the leaf emissivity, soil background emissivity, and leaf area index (LAI). This is the ELITE Landsat NBE dataset from Landsat 7 in July 2002. Please <strong><em>click here</em></strong> to download the ELITE Landsat NBE dataset from Landsat 7 in January 2002. <strong>Dataset Characteristics:</strong> Spatial Coverage: The Continental United States Temporal Coverage: 2002.7 Spatial Resolution: 30m Temporal Resolution: 16 days Data Format: Geotiff Scale: 0.001 <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 If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.5281/zenodo.8280780
title: ELITE emissivity: Landsat NBE 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 narrowband (NBE) emissivity dataset (Landsat7 Channel 6) over the continental United States (Cheng et al. 2021). For the non-vegetated surfaces, the LSEs were estimated using an empirical method that establishes the linkages between the ASTER NBE product and the Landsat SR product. For the vegetated surfaces, the LSEs were derived by using the 4SAIL model established lookup table (LUT) provided with the NBE of the leaf emissivity, soil background emissivity, and leaf area index (LAI). This is the ELITE Landsat NBE dataset from Landsat 7 in July 2002. Please <strong><em>click here</em></strong> to download the ELITE Landsat NBE dataset from Landsat 7 in January 2002. <strong>Dataset Characteristics:</strong> Spatial Coverage: The Continental United States Temporal Coverage: 2002.7 Spatial Resolution: 30m Temporal Resolution: 16 days Data Format: Geotiff Scale: 0.001 <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 If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.25505/fiz.icsd.cc1xhjxv
title: CSD 1772608: Experimental Crystal Structure Determination

description: Related Article: H.G. von Schnering, R. Kroener, M. Baitinger, K. Peters, R. Nesper, Yu. Grin'|2000|Z.Kristallogr.-New Cryst.Struct.|215|205|doi:10.1515/ncrs-2000-0207
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc1xgqsw
title: CSD 1771829: Experimental Crystal Structure Determination

description: Related Article: T. Soehnel, W. Reichelt|1997|Acta Crystallogr.,Sect.C:Cryst.Struct.Commun.|53|9|doi:10.1107/S0108270196009560
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25345/c5xg9fn1h
title: MassIVE MSV000092778 - Proteomic analysis of CD133 cells in the WT vs DAP5 depleted background
title: CD133 is a marker of cancer stem cells. DAP5 is a is a translation initiation factor. The goal of the experiment was to characterize the proteomic differences between CD133+/- cells in the WT vs DAP5 depleted background. To this aim, 4 populations of human cells were FACS sorted: shNT_CD133-, shNT CD133+, shDAP5_ CD133-, shDAP5_CD133+. The collected cell pellets were subjected to LC-MS/MS analysis.
DOI: 10.6084/m9.figshare.22574206
title: The genome of <em>Decapterus maruadsi</em>

description: The genome of <em>Decapterus maruadsi </em>
DOI: 10.5281/zenodo.8280783
title: ELITE emissivity: Landsat NBE 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 narrowband (NBE) emissivity dataset (Landsat5 Channel 6) over the continental United States (Cheng et al. 2021). For the non-vegetated surfaces, the LSEs were estimated using an empirical method that establishes the linkages between the ASTER NBE product and the Landsat SR product. For the vegetated surfaces, the LSEs were derived by using the 4SAIL model established lookup table (LUT) provided with the NBE of the leaf emissivity, soil background emissivity, and leaf area index (LAI). This is the ELITE Landsat NBE dataset from Landsat 5 in January 2005. Please <strong><em>click here</em></strong> to download the ELITE Landsat NBE dataset from Landsat 5 in July 2005. <strong>Dataset Characteristics:</strong> Spatial Coverage: The Continental United States Temporal Coverage: 2005.1 Spatial Resolution: 30m Temporal Resolution: 16 days Data Format: Geotiff Scale: 0.001 <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 If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.5281/zenodo.8280782
title: ELITE emissivity: Landsat NBE 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 narrowband (NBE) emissivity dataset (Landsat5 Channel 6) over the continental United States (Cheng et al. 2021). For the non-vegetated surfaces, the LSEs were estimated using an empirical method that establishes the linkages between the ASTER NBE product and the Landsat SR product. For the vegetated surfaces, the LSEs were derived by using the 4SAIL model established lookup table (LUT) provided with the NBE of the leaf emissivity, soil background emissivity, and leaf area index (LAI). This is the ELITE Landsat NBE dataset from Landsat 5 in January 2005. Please <strong><em>click here</em></strong> to download the ELITE Landsat NBE dataset from Landsat 5 in July 2005. <strong>Dataset Characteristics:</strong> Spatial Coverage: The Continental United States Temporal Coverage: 2005.1 Spatial Resolution: 30m Temporal Resolution: 16 days Data Format: Geotiff Scale: 0.001 <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 If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).